Data Engineer Remote

Remote Data Engineer Jobs

146 jobs found

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All (547) 🌍 Worldwide (152) 🇺🇸 US (374) 📍 Location-specific (21)

Today

Senior Lead Data Engineer

Stryker Kalamazoo, MI 🇺🇸 Remote

Kalamazoo, MI

Today

$118k - $256k/yr Full time Senior Azure Data Factory Azure Data Platform

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Job Description

Stryker seeks a Senior Lead Data Engineer to serve as a technical leader for enterprise data solutions. The role will guide complex data initiatives spanning data platform architecture, Azure-based engineering, and procurement analytics, while mentoring engineers and strengthening engineering practices.

Role Overview

This position focuses on shaping and delivering scalable enterprise data platforms that enable global procurement analytics and support business transformation. The Senior Lead Data Engineer will drive a multi-year engineering strategy, improve platform maintainability and reliability, and translate complex business needs into reusable data products and engineering solutions.

Key Responsibilities

Lead the architecture, development, and modernization of scalable enterprise data platforms supporting global procurement analytics and business transformation.
Define and help execute a multi-year data engineering strategy covering scalability, reliability, automation, technical debt reduction, and long-term maintainability.
Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, and Azure DevOps, including CI/CD pipelines and infrastructure automation.
Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models.
Partner with procurement analysts, architects, engineers, and business stakeholders to convert complex business requirements into scalable, reusable data products.
Set engineering standards, perform architecture reviews, improve documentation, and mentor engineers to raise the team’s technical capability.
Identify and implement AI-enabled approaches to accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity.
Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency.
Support internal data products, APIs, and user-facing applications that simplify access to procurement insights.
Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams.

Required Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field.
6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development.
Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment.
Hands-on experience with Azure-based data engineering technologies including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation.
Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks.
Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions.
Experience integrating and harmonizing data from multiple ERP or enterprise source systems into common data models, including master, supplier, purchasing, and transactional data.
Experience with API integrations, REST services, authentication, security, data governance, and production support practices.
Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority.
Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions.

Preferred Qualifications

Master’s degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field.
Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment.
Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale.
Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics.
Full-stack engineering experience including React, Next.js, Vercel, API development, authentication, and internal web application development.
Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation.
Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights.
Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives.
Experience with Power BI, Tableau, or similar business intelligence and visualization tools.
Demonstrated curiosity and continuous learning mindset, including experimenting with emerging technologies and applying them to practical engineering or analytics use cases.

Technologies

Azure
Databricks
Delta Lake
Azure Data Factory
Azure DevOps
CI/CD pipelines
Infrastructure automation
SQL
Python
Spark
ETL/ELT
Data warehouse
Lakehouse
API integrations
REST services

Location and Work Arrangement

Kalamazoo, MI (remote)

Compensation

Estimated annual salary range: USD 118,000 - 255,700.

United States pay ranges:

USN: $118,000 - $196,700 USD Annual
US5: $123,900 - $206,500 USD Annual
US10: $129,800 - $216,400 USD Annual
US15: $135,700 - $226,200 USD Annual
US20: $141,600 - $236,000 USD Annual
US30: $153,400 - $255,700 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

Benefits

12 paid holidays annually
Medical and prescription drug insurance
Dental insurance
Vision insurance
Critical illness insurance
Accident insurance
Hospital indemnity insurance
Personalized healthcare support
Wellbeing program and tobacco cessation program
Health Savings Account (HSA)
Flexible Spending Accounts (FSAs)
401(k) plan
Employee Stock Purchase Plan (ESPP)
Basic life and AD&D insurance
Short-term disability insurance
Service and performance awards
Wellness programs
Various social and recreational activities (location specific)

Posting Information

Posted date: 09/21/2026
Minimum posting duration: 3 days

Additional Notes

Depending on customer requirements, employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.

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26d ago

AI Engineer, GTM Claudification

Anthropic Remote 🌍 Remote

Remote

26d ago

$320k - $405k/yr Full time Backend Developer Agentic Ai Agentic Ai Orchestration

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Job Description

Anthropic is hiring an AI Engineer for the GTM Claudification team to build autonomous agents and AI systems that execute Anthropic’s go-to-market workflows end to end. The role spans agent evaluation, production monitoring, and delivering MCP servers, agent skills, and web applications connected to core revenue systems.

Key Responsibilities

Build and operate autonomous agents that run go-to-market motions end to end, including inbound, outbound, pipeline management, and customer engagement
Design human oversight for each motion, including approval gates, handoffs, and escalation paths that keep sellers in control
Develop evaluation frameworks for agent behavior and run them across development and production
Instrument model and tool calls in production, and build observability and measurement that connect agent actions to pipeline and revenue
Ship MCP servers, agent skills, and web applications that integrate with systems such as a CRM, communication tools, and a data warehouse
Set technical direction for how the team builds, evaluates, and operates agents
Architect shared codebases so go-to-market builders can contribute, defining conventions and review practices to maintain quality
Work with sellers to ground agent designs in real workflows, then iterate based on observed outcomes
Identify repeatable patterns and contribute insights to Anthropic’s Product and Engineering teams
Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques

Required Qualifications

Strong programming skills in Python or TypeScript, with experience building and operating production applications
Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks
Experience using evals and transcript analysis to identify and resolve real issues in an LLM system
Working fluency with data, including SQL
Ability to navigate ambiguity and ship without a spec, using simple solutions to complex problems
Passion for advancing safe, beneficial AI, and care for the people who use what you build

Preferred Qualifications

8+ years in roles such as software engineer, ML engineer, or forward deployed engineer; technical founders are encouraged to apply
Experience with Claude Code and the Claude Agent SDK
Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team
Experience growing a codebase that many people contribute to, including inner-source or open-source work
Applied ML and experimentation background, including A/B testing, propensity models, recommendations, or causal analysis
Exceptional communication skills to explain technical concepts to non-technical partners with low ego

Representative Projects

Build an agent that converts a routine sales workflow from first signal to a drafted, human-reviewed action
Stand up an agent eval suite, including seed scenarios, scoring rubrics, and regression runs on each change
Ship an MCP server that provides sellers and their agents governed access to a core revenue system
Design a shared repository for go-to-market builders to publish agents and skills, supported by tests and review rules
Build a predictive model that explains itself so an agent can communicate the rationale behind suggested actions

Tech Stack

Python, TypeScript
LLMs, MCP
SQL

Location, Education, and Logistics

Location: Remote
Salary: USD 320,000 - 405,000 per year
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years required will correlate with internal job level requirements
Location-based hybrid policy: Expect staff to be in one of Anthropic’s offices at least 25% of the time (some roles may require more)
Visa sponsorship: Visa sponsorship is available, and Anthropic makes reasonable efforts to support offers; an immigration lawyer is retained to help
Application guidance: Candidates are encouraged to apply even if they do not meet every qualification
Safety: Anthropic recruiters only contact candidates from @anthropic.com email addresses

Additional Company Information

Anthropic is a public benefit corporation headquartered in San Francisco. The role includes competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration.

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27d ago

Senior Data Engineer

Suncoast Credit Union Tampa, FL 📍 Florida Remote

Tampa, FL

27d ago

$86k - $115k/yr Full time Senior Azure Data Factory Azure Data Platform

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Job Description

As a Senior Data Engineer at Suncoast Credit Union, you will design, evaluate, and test data infrastructure that enables reliable data ingestion, processing, and interpretation. This role supports ETL pipeline development, data modeling and governance, analytics and natural language processing modules, and ongoing collaboration with business partners to translate requirements into scalable data architecture.

Key Responsibilities

Build systems and infrastructure to collect and process data aligned to company needs and goals.
Build, evolve, and scale infrastructure to ingest, process, and extract meaning from data.
Design, develop, and implement statistical models for classification and information extraction.
Use existing infrastructure to fulfill data-related requests, including data housekeeping, cleansing, normalization, hashing, and implementing required data model changes.
Analyze data to identify anomalies, trends, and correlations across related datasets.
Design, develop, and implement natural language processing software modules.
Troubleshoot issues, identify potential solutions, and resolve them accordingly.
Partner with business counterparts to define data requirements and update requirement document templates.
Work with the manager to translate business requirements into appropriate schema and data models.
Ensure design efficiency to minimize data refresh lag between systems so reporting remains timely.
Deploy data architectures based on manager-defined standards that support Suncoast’s data strategy and information architecture.
Follow measurable processes, tools, and engineered data management solutions to support data platforms including data warehouses, lakes, visualization tools, master data management, and advanced analytics tools.
Design and develop ETL processes to extract data from multiple source systems, transform it for usability, and load it into data platforms.
Establish data governance and quality standard operating procedures and best practices.
Use Azure Data Factory to create pipelines that create, move, and transform data across the data stack.
Architect advanced data solutions for current and future processes.
Mentor teammates and provide advisory support.
Maintain knowledge of current trends, laws, and issues impacting the area of expertise.
Attend educational events to increase professional knowledge.
Complete annual compliance and information security training to understand employee responsibilities related to effective programs.

Required Qualifications

Bachelor’s degree in finance, economics, computer science, mathematics, or a related field (a comparable combination of work experience and training may substitute for education).
7+ years of experience making data usable to end users in a complex data environment.
7+ years of experience with Microsoft SQL Server platforms, including SSRS, SSAS, stored procedure creation, trigger definition and implementation, and optimizing and indexing, plus foundational knowledge of views, tables, database DDL, and SQL Server Integration Services (SSIS).
Experience using Development Transact SQL.
Microsoft Azure (5 years): portal and resource navigation.
Azure Data Factory (5 years): developing pipelines, pipeline activities, troubleshooting, etc.
REST API experience.
GitHub experience creating, updating, and submitting code.
Agile methodology (1 year): Kanban method of limiting work in progress.
Experience developing ETL processes.
Experience with Delta Lakes and Lakehouse Architecture.
2+ years of experience designing data structure for a production environment.
Ability to prioritize tasks by managing competing and changing priorities to meet deadlines.
Accurate, detail-oriented, and organized approach to task management.
Ability to analyze and resolve difficult and often complex problems.
Strong written, verbal, and interpersonal communication skills to work with members, staff, vendors, and government regulators.
Strong knowledge of credit union products, services, policies, and procedures, including credit union computer systems and required software applications.
Strong knowledge and understanding of regulatory compliance.

Technologies

Microsoft SQL Server
SSRS
SSAS
Stored Procedure Creation
Trigger definition and implementation
SQL Server Integration Services (SSIS)
Development Transact SQL
Microsoft Azure
Azure Data Factory
REST API
GitHub
Agile Methodology and Kanban
Delta Lakes
Lakehouse Architecture

Compensation and Position Details

Compensation: $86,000 to $115,000 per year (based on credentials and experience).
Location: Remote; candidate must reside in Florida.
Position Type: Full Time.

Benefits

Bonus Program up to 12%
401K Matching up to 8%
Retirement Planning
Pay Increases based on Competency
Employee Loan Discounts
Flex Spending Accounts
Medical Coverage
Dental and Vision Coverage
Access to 4,000+ Gyms
Mental Health Resources
PTO Wellness Days
Short Term and Long Term Disability Coverage
11 Paid Holidays
3 weeks of Paid Time Off
4 weeks of Paid Parental Leave
Birthday PTO
Paid Volunteer Hours
Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit: https://careers.suncoastcreditunion.com/benefits.

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. For more information, please visit https://careers.suncoastcreditunion.com/.

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27d ago

Senior Analytics Engineer

Velir New York, NY 🇺🇸 Remote

New York, NY

27d ago

$135k - $150k/yr Full time Backend Developer Senior Analytics

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Job Description

Velir is hiring a Senior Analytics Engineer (remote, New York, NY) to lead scalable analytics data models and pipelines that produce clear, trustworthy insights.

Responsibilities

Lead complex technical implementations, shaping data architecture and transformation pipelines with a focus on performance, maintainability, and reusability.
Drive adoption of dbt development best practices, including testing and CI/CD, while mentoring peers through code reviews, pairing, and technical guidance.
Contribute to internal tooling, shared dbt packages, and scalable frameworks that raise the bar for analytics engineering across teams and clients.
Partner with analysts, engineers, and stakeholders to turn complex and often ambiguous business requirements into well-structured data models and semantic layers.
Act as a technical and strategic advisor in cross-functional planning, balancing stakeholder needs, data governance, and long-term scalability.
Communicate and mentor across teams, helping other Analytics Engineers and cross-functional teammates build clarity and confidence in data architecture decisions.
Lead end-to-end delivery of analytics engineering workstreams, ensuring solutions are reliable, well-documented, and aligned to client objectives.
Identify and resolve systemic data quality or modeling issues using durable fixes that improve trust and efficiency across the stack.
Enable sustainable delivery by optimizing performance, reducing technical debt, and contributing to shared standards that scale.

Requirements

Programming languages such as SQL and Python.
Business intelligence platforms such as PowerBI and Sigma.
Expert proficiency in dbt (required).
Expert proficiency in data modeling approaches and philosophies, e.g., Kimball and OBT.
Expert proficiency with at least one cloud data warehouse, e.g., Snowflake or BigQuery.
Expert proficiency with version control and git.
Knowledge of common data integration patterns such as CDC and ELT.
Knowledge of data integration or orchestration platforms such as Fivetran, Dagster, or Apache Airflow.
Ability to communicate in professional proficiency in English, verbally and in writing.

Technologies

SQL, Python
PowerBI, Sigma
dbt, Kimball, OBT
Snowflake, BigQuery
git
CDC, ELT
Fivetran, Dagster, Apache Airflow

Bonus points

Strong analytical instincts for spotting patterns, anomalies, and relationships across large, complex datasets.
Experience with event-driven data pipelines or pub/sub architectures to move and process data across systems.
Experience using AI or automation tools to enhance analytics engineering workflows, including testing, documentation, or performance optimization.

Compensation

$135,000 - $150,000 USD per year

Compensation packages are finalized after the interview process is concluded.
Base pay uses a competency-based approach based on demonstrated skills for this role.

Physical requirements

Frequent sitting at a desk performing work on a computer.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Core company values

Take the Long View - Ensure the company is built to last
Be Courageous - Make the right decisions even when they aren't the easiest decisions
Be Genuine - Bring honesty and authenticity to all that you do
Work with Focus + Passion - Display purpose and pride in your work and never stop learning

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1mo ago

Machine Learning Engineer

Career.io Remote 🌍 Remote

Remote

1mo ago Closed

Full time Ai Ml Artificial Intelligence Data Engineer

This position is no longer accepting applications (closed Sep 21, 2026).

Job Description

As a Machine Learning Engineer at Career.io, you will own ML products end to end, guiding work from problem definition through production deployment and the metrics used to confirm impact. The role is fully remote and focuses on data and entity resolution, retrieval, ranking and matching, plus applied LLMs and agentic workflows.

Responsibilities

Own machine learning products end to end, taking initiatives from the initial problem framing to production delivery and the specific metric that demonstrates results.
Own experiments including those that do not pan out, with responsibility for deciding when to stop rather than only launching initiatives.
Build and maintain canonical datasets for titles, companies, skills, and industries, including content-addressed IDs, faceted taxonomies, and alias graphs accumulated across tens of millions of rows.
Create rules-based resolution pipelines with LLM escalation, using the alias graph as a durable asset and aiming to reduce escalation volume over time.
Run nightly agent loops that adjudicate ambiguous entities and propose structural changes, gated by invariant checks and blast-radius limits before committing updates.
Handle job ingestion at scale across multi-source feeds, including deduplication, freshness, and the indexing economics needed to support retrieval.
Build job matching v2 using a two-tower retrieval approach with cross-encoder reranking, trained on outcome labels rather than clicks, supported by hard-negative mining, propensity weighting, and impression-time logging.
Learn mobility embeddings from observed career sequences to capture similarity when a text encoder cannot recover the relationship.
Perform pivot feasibility analysis to determine where someone is, what moves are realistic, what is missing, and which intermediate roles have worked for peers.
Fine-tune models where cost is justified against outcome labels, avoiding training for tasks a well-prompted frontier model can already handle.
Develop agentic systems in production with human approval gates, producing reviewable artifacts for proposed changes and executing only after human sign-off.
Implement continuous skills inference from work artifacts rather than relying solely on static documents.
Create new product surfaces where correct behavior genuinely requires an LLM, and recognize when an LLM is not the right tool.
Build evaluation infrastructure suitable for technical review, including time-forward splits, calibration, offline-to-online agreement, and careful handling of feedback-loop degeneration and survivorship bias.
Design within real constraints including GDPR, EU AI Act high-risk classification for employment AI, and client data commitments treated as design inputs.

Requirements

5+ years of experience shipping ML systems into production, with the ability to name systems, define metrics before and after, and explain how you determined the model caused the change.
Strong depth in both classical ML and deep learning (PyTorch or TensorFlow) applied to live products, not limited to notebooks and Kaggle-style datasets.
Working fluency with LLMs in production, including retrieval, evaluation, prompt and context engineering, plus sound judgment to recognize when an LLM is not appropriate.
Experience shipping with agentic coding tools such as Claude Code, Claude Design, or close equivalents, with the ability to reference what you built.
Software engineering fundamentals strong enough to own deployments, including Python, Git, cloud experience (AWS), containers, and patience for messy human-authored self-reported data.

Technologies

PyTorch, TensorFlow, Claude Code, Claude Design, Python, Git, AWS, containers

Role Details

Career.io is growing its machine learning team, and this role is part of how the organization builds products.
A small product strategy team sets direction and priorities, while engineers own work end to end: discovery, design, build, ship, and the resulting impact.
The role emphasizes autonomy within your domain along with accountability for outcomes.
AI-native development is treated as the baseline, and engineers use Claude Code and Claude Design as default tools.
This is a 100% remote/work-from-home role.

Nice-to-Haves

Experience with entity resolution, record linkage, or taxonomy design at scale.
Background in ranking, recommendation, or two-tower retrieval systems.
Experience with sequence models on longitudinal or event-stream data.
Exposure to embedding and vector retrieval systems in production.
Experience with experiment design, causal inference, or off-policy evaluation.
Experience with warehouse-native ML such as dbt, Snowflake, or similar tools.
Domain experience in labor market, HR tech, or people-data.
Open-source contributions or publications.

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1mo ago

Data Analyst 2

Optum Eden Prairie, MN 📍 United States Remote

Eden Prairie, MN

1mo ago Closed

$73k - $130k/yr Full time 3d Design Tools Alteryx Analytics

This position is no longer accepting applications (closed Sep 20, 2026).

Job Description

Optum is hiring a Data Analyst 2 to help drive outcomes of studies through rigorous analysis, review, forecasting, trend identification, and clear presentation of insights for operational and business planning. This role will also take ownership of savings logic governance for Provider Education, partnering across internal teams and external collaborators to keep logic, reporting, and performance communication consistent.

The position is based in Eden Prairie, MN with remote work available. The target salary range is USD 72,800 - 130,000 per year, and the minimum experience requirement is 3 years.

What you’ll do

Own the savings logic for Provider Education as the central point of responsibility
Align methodologies between Matrix Partners
Provide transparency and consistency of savings logic to internal and external stakeholders
Support Provider Education programs with data integrity, reporting, and logic-related issue resolution
Serve as a liaison between Matrix Partners and ensure alignment with PE operational leadership
Translate savings logic and explain program methodology to internal matrix partners for consistent understanding of performance metrics
Communicate savings methodology, identification logic, and program performance to external clients, including Coding, Finance, and Audit leadership
Ideate and support the development of dashboards and reporting solutions to improve visibility into PE performance, leveraging AI capabilities
Partner with PE Operations and development resources to intake new coding modules and perform savings estimation
Execute ad-hoc scripts that support invoicing and report values to Finance

Minimum qualifications

3+ years of Microsoft SQL coding experience, including writing queries and creating schemas or maintaining tables (or similar)
3+ years of SQL Server Management Studio experience (or similar)
3+ years of Microsoft Excel
3+ years of Tableau (or similar data visualization tools)
3+ years of Alteryx (or similar ETL and transformation tools)

Tools and technologies

Microsoft SQL
SQL Server Management Studio
Microsoft Excel
Tableau
Alteryx
Amazon Redshift

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Preferred qualification

Amazon Redshift

Application deadline

This role will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. The job posting may come down early due to volume of applicants.

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1mo ago

Senior Data Engineer

NORTHEAST POWER COORDINATING COUNCIL (NPCC) Remote 🌍 Remote

Remote

1mo ago Closed

$105k - $125k/yr Full time Senior Azure Data Factory Business Intelligence

This position is no longer accepting applications (closed Sep 20, 2026).

Job Description

Lead enterprise data engineering initiatives for NPCC by designing scalable data pipelines, cloud data platforms, and governed analytics foundations.

Responsibilities

Design, develop, implement, and maintain enterprise data architecture, scalable data pipelines, and cloud-based data platforms aligned to NPCC business objectives.
Build and optimize automated ELT/ETL workflows using modern integration technologies including Fivetran, dbt, APIs, and cloud-native services.
Develop and maintain enterprise data warehouses, semantic models, and analytical datasets using Snowflake and other modern cloud technologies.
Integrate and manage data from multiple internal NPCC departments, including Reliability Assessments and Performance Analysis (RAPA), System Protection, Compliance Monitoring and Enforcement, Registration, Event Analysis, Corporate Services, Finance, Information Technology, and other business functions.
Create and maintain integrations with external industry data sources including NERC applications, ERO Enterprise systems, Regional Entities, ISOs/RTOs, Transmission Owners, Generator Owners, governmental agencies, public data repositories, and other industry partners.
Design and implement enterprise data models for business intelligence, operational reporting, executive dashboards, regulatory reporting, and advanced analytics.
Develop, maintain, and optimize Power BI dashboards, reports, and interactive visualizations for organizational performance metrics and executive decision-making.
Implement automated data quality validation, reconciliation, monitoring, and alerting to support data integrity, accuracy, and reliability.
Establish and maintain metadata, data lineage, technical documentation, and data governance standards.
Collaborate with subject matter experts to translate business requirements into scalable technical solutions and reusable enterprise data products.
Evaluate emerging technologies and recommend improvements across enterprise data architecture, cloud platforms, analytics capabilities, automation processes, and AI initiatives.
Support organizational data governance, cybersecurity, and information management using industry best practices for secure and reliable data management.
Participate in cross-functional projects supporting NPCC strategic initiatives and continuous improvement.

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, Computer Engineering, Electrical Engineering, Mathematics, Statistics, Data Analytics, or a related technical discipline.
Minimum 7 years of progressively responsible experience in data engineering, database development, enterprise data architecture, cloud data platforms, business intelligence, or analytics engineering.
Demonstrated experience designing and supporting enterprise-scale data platforms and automated data integration solutions.
Strong proficiency with SQL, Python, relational databases, and cloud-based data warehouse technologies.
Experience developing and maintaining ELT/ETL pipelines using modern integration tools and cloud technologies.
Experience delivering enterprise reporting and business intelligence solutions using Power BI or similar platforms.
Excellent verbal, written, and technical communication skills for technical and non-technical audiences.
Demonstrated analytical, organizational, and problem-solving skills with strong attention to detail.
Ability to manage multiple priorities independently while collaborating across departments.

Technologies

Fivetran, dbt, APIs, cloud-native services
Snowflake
Power BI
SQL, Python, relational databases
NERC applications, ERO Enterprise systems, ISOs/RTOs
NERC Reliability Standards
Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure Data Lake
REST APIs, Git, Azure DevOps, CI/CD pipelines
artificial intelligence, machine learning

Benefits

401(k) and 401(k) matching
Dental insurance
Employee assistance program
Employee discount
Flexible schedule
Flexible spending account
Health insurance and Health savings account
Life insurance
Paid time off
Parental leave
Retirement plan
Vision insurance

Preferred Qualifications

Experience within the electric utility, electric reliability, transmission, generation, or energy industry.
Familiarity with NERC Reliability Standards, Regional Entity functions, and electric system operations.
Experience with modern cloud technologies including Snowflake, Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure Data Lake, dbt, and Fivetran.
Experience with REST APIs, Git, Azure DevOps, CI/CD pipelines, and data automation frameworks.
Experience developing enterprise data governance programs, metadata management, and data quality frameworks.
Knowledge of artificial intelligence, machine learning, and predictive analytics technologies.

Skills and Abilities

Excellent verbal and written communication skills
Excellent interpersonal and conflict resolution skills
Excellent organizational skills and attention to detail
Strong analytical and problem-solving skills
Strong supervisory and leadership skills
Proficient with Microsoft Office Suite or related software
Self-starter who can manage multiple priorities in a fast-paced environment

Physical Demands

Ability to sit for long periods of time
Ability to communicate verbally and in writing
Ability to handle long periods of screen time
Ability to work and travel within the U.S. and travel to Canada

Application Question(s)

Do you have 5+ years of professional experience in data engineering, data architecture, database development, or analytics engineering?
Do you have hands-on experience designing, building, deploying, and maintaining production ETL/ELT data pipelines?
Do you have advanced hands-on experience with SQL and experience with a modern cloud data platform such as Snowflake, Microsoft Fabric, Databricks, Synapse, BigQuery, or Redshift?
Have you personally designed solutions that integrate multiple internal and external data sources, including databases, APIs, files, or third-party platforms, with automated data-quality validation and error handling?

Work location: Remote

Sentara Hospitals Virginia Beach, VA 🇺🇸 Remote

Virginia Beach, VA

1mo ago Closed

$80k - $134k/yr Full time Big Data Bigdata Cloud Platform

1mo ago

Data Engineer

Capgemini Remote 🌍 Remote

Remote

1mo ago Closed

$34 - $54/hr Contract Cloud Platform Cloud Platforms Data

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