Fivetran

Fivetran Data Jobs

15 jobs found

Today

Data Engineer

Youth Villages Chesterfield, VA

Chesterfield, VA

Today

Full time Analytics Big Data Business Analytics

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Job Description

You’ll help Youth Villages design and modernize cloud-based data foundations that power trusted reporting, analytics, and day-to-day operational decisions. This onsite role in Chesterfield, VA focuses on building scalable ELT/ETL pipelines, developing and optimizing Snowflake data warehouse structures, and strengthening data governance, quality, and modernization of legacy reporting workflows.

What you’ll bring

Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Analytics, or a related field (preferred)
ETL/ELT experience developing and implementing enterprise data solutions (required)
Experience with Snowflake, SQL Server, MySQL, Fivetran, Coalesce, and GitHub (preferred)
SQL strength including query development and query optimization
Agile experience
Data warehousing concepts and data governance best practices
Strong organizational skills, attention to detail, and effective written, verbal, and oral communication
Ability to manage multiple priorities and maintain a flexible schedule
Comfort supporting secure and compliant handling of sensitive PHI data

Key responsibilities

Build scalable cloud data solutions that adapt as business needs and source systems change
Design, develop, and maintain ELT/ETL pipelines using modern cloud technologies and data integration platforms
Develop and optimize data ingestion and transformation processes using Snowflake, SQL Server, MySQL, Fivetran, Coalesce, SQL, and GitHub
Maintain and improve enterprise data warehouse structures, curated datasets, and transformation logic supporting reporting and analytics
Optimize SQL queries and warehouse performance for accuracy, scalability, and efficiency
Collaborate with business and technical teams to translate requirements into technical solutions
Monitor, troubleshoot, and improve data workflows and production data processes
Support data governance with metadata management, lineage tracking, documentation, and data quality validation
Diagram and document data flows, integrations, schemas, and transformation logic
Support Tableau initiatives by delivering validated, high-quality datasets for dashboards and analytics
Participate in Agile activities including sprint planning, estimation, backlog grooming, and release support
Perform other duties as assigned

Growth and benefits

You can expect a benefits package that includes:

Medical, Dental, Prescription Drug Coverage, and Vision
401(k)
Time off: 2 week paid vacation (full-time) / 1 week paid vacation (part-time), plus 12 paid sick days per year and 11 paid holidays
Paid Parental Leave
Mileage & Cell Phone Reimbursement (when applicable)
Tuition reimbursement and licensure supervision
Growth & development through continuous training
Clinical and administrative advancement opportunities
Benefits are excluded for variable status employees.

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1d ago

Senior Data Engineer

Headway.co New York, NY

New York, NY

1d ago

$180k - $225k/yr Full time Senior Apache Airflow Artificial Intelligence

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Job Description

Headway is seeking a Senior Data Engineer to help shape the company’s data architecture for a mental healthcare platform. The role focuses on building scalable, reliable, and secure data pipelines, strengthening governance and quality standards, and enabling trustworthy, AI-ready data through cross-functional collaboration.

Responsibilities

Design, build, and maintain scalable data pipelines and supporting infrastructure for internal stakeholders and core business functions.
Define, develop, and refine data governance, monitoring, and data quality standards, including ensuring AI-generated or AI-surfaced data is complete, correct, and traceable.
Partner with Product and Engineering to advocate for data engineering best practices and address data needs early in the product lifecycle.
Collaborate with Analytics, Data Science, and Infrastructure to continuously evolve Headway’s data architecture.
Own and drive technical decisions across the data platform, including performance optimization and infrastructure-as-code.
Support how employees interact with data through AI-powered tools by helping ensure the data layer is reliable enough to power accurate, trustworthy answers.

Requirements

6+ years of experience as a data engineer, with a track record of building scalable systems and solving complex data challenges in a fast-paced technology environment.
Proficiency in Python and SQL.
Experience with tools and services from a modern data platform stack, including Snowflake, dbt, Airflow, Fivetran, and Terraform.
Familiarity with visualization tools such as Metabase or Jupyter Notebooks (plus).
Pragmatic approach to building for current needs while planning for future scale.
Strong ownership and action orientation, including when requirements are ambiguous.
Collaborative mindset and empathy for teammates and stakeholders across disciplines.
Motivation aligned with Headway’s mission to make mental healthcare more accessible and affordable.

Required Technologies

Python, SQL
Snowflake, dbt, Airflow
Fivetran, Terraform
Metabase, Jupyter Notebooks

Compensation

The expected base pay range for this position is $180,000 - $225,000. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. Offers Equity.

Benefits

Equity Compensation
Medical, Dental, and Vision coverage
HSA / FSA
401K
Work-from-Home Stipend
Therapy Reimbursement
16-week parental leave for eligible employees
Carrot Fertility annual reimbursement and membership
13 paid holidays each year and a Holiday Break during the week between December 25th and December 31st
Flexible PTO
Employee Assistance Program (EAP)
Training and professional development

Location and Employment Details

Location: New York, NY (hybrid)
Additional locations listed: New York City; San Francisco, CA; Seattle, WA
Employment type: Full time
Location type: Hybrid
Department: All Cost Centers; Research & Development; Engineering & Technology; Engineering

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22d ago

Senior Analytics Engineer

Velir New York, NY 🇺🇸 Remote

New York, NY

22d 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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28d ago

Senior Data Engineer

NORTHEAST POWER COORDINATING COUNCIL (NPCC) Remote 🌍 Remote

Remote

28d ago

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

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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

Salary: USD 105,000 - 125,000 per year

Minimum experience: 7 years

Education: Bachelor's degree

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29d ago

Analytics Engineer

Ontic Technologies Remote 🇺🇸 Remote

Remote

29d ago

$95k - $105k/yr Full time Cloud Data Warehouse Data Analytics Data Architecture

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Job Description

Ontic Technologies is hiring a hands-on R&D Analytics Engineer to build and scale the data and AI foundation for its enterprise SaaS business.

Responsibilities

Design and maintain scalable dbt data models in Snowflake as trusted sources of truth
Architect data pipelines and transformation workflows using Fivetran and modern ELT practices
Create durable, extensible data assets that continue to evolve as the company scales
Define modeling standards, documentation practices, and governance frameworks
Partner with RevOps and Finance to define and operationalize core SaaS metrics such as ARR, retention, expansion, and pipeline
Build data foundations that support internal AI applications and LLM-enabled workflows
Prototype and productionize AI-driven operational use cases
Integrate analytics and AI into day-to-day workflows using tools such as Notion, Cursor, Glean, and other emerging platforms
Design systems that embed data directly into operational processes rather than dashboards only
Collaborate with leaders across Sales, CS, Marketing, Finance, Product, and Engineering to translate business needs into scalable technical systems
Create reusable data assets that enable activation via Hightouch and analysis via Omni
Ensure architecture remains scalable, secure, and adaptable to changing enterprise requirements

Requirements

Experience in analytics engineering, data engineering, or similar hands-on roles
Strong SQL skills and deep understanding of modern data modeling concepts such as dimensional modeling, transformations, and data contracts
Experience working with cloud data warehouses including Snowflake, and familiarity with BigQuery and Redshift
Comfort working in a fast-moving, evolving AI tooling landscape
Systems-level thinking focused on scalability, extensibility, and flexibility
Natural curiosity and energy for solving ambiguous problems
Strong ownership of clean, durable architecture, not quick fixes
Ability to communicate effectively and collaborate across business and technical teams

Technologies

dbt, Snowflake, Fivetran, ELT, Hightouch, Omni
Notion, Cursor, Glean
SQL, BigQuery, Redshift

Benefits

Competitive salary
Medical, Vision & Dental benefits
401k
Stock options
HSA contribution
Learning stipend
Flexible PTO policy
Quarterly company ME (mental escape) days
Generous Parental Leave policy
Home office stipend
Mobile phone reimbursement
Home internet reimbursement for remote employees
Anniversary & milestone celebrations
Offers bonus

Details

Location: Remote, United States
Employment type: Full time
Department: Operations
Compensation: $95K - $105K per year (offers bonus)

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30d ago

Founding Data Analytics Engineer

Broccoli AI San Francisco, CA

San Francisco, CA

30d ago

Full time Airbyte Bigquery Clickhouse

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Job Description

Broccoli AI is hiring a Founding Data Analytics Engineer to build the unified data layer, own the architecture and tooling, and ensure every dashboard and metric is trustworthy.

Responsibilities

Build and run ClickHouse ingestion pipelines to reliably move data from all sources into ClickHouse, including selecting the tooling and owning the end-to-end flow.
Model and document data by transforming raw feeds into clean, well-defined tables, including entity resolution so a single customer is consistent across billing, support, and call data.
Create a source-of-truth library with canonical views and metric definitions that dashboards and analyses can rely on.
Make data Human & AI-ready by structuring models, definitions, and documentation so both people and AI agents can query and get correct answers, plus building internal tools that enable others to ask data questions with confidence.
Ensure data trustworthiness through freshness checks, quality tests, and alerts to detect pipeline failures before customers are impacted.
Support deep dives via ad-hoc analysis, segment investigations, and responses to partner questions.
Partner with engineering to understand system storage and production details (schemas, events, architecture) and provide early input so warehouse data is usable, stable, and straightforward to model.

Requirements

4–8+ years in data or analytics engineering, including building and operating production pipelines end to end and being responsible when pipelines break.
Strong SQL and solid Python, with hands-on experience using ETL/orchestration tooling such as Airbyte, Fivetran, Dagster, dbt, or custom ETL.
Columnar/OLAP warehouse experience, with ClickHouse preferred (BigQuery, Snowflake, or Redshift also acceptable).
Data modeling as a craft, with experience designing tables others query and a focus on meaning and metrics, not only pipeline reliability.

Technologies

ClickHouse
BigQuery
Snowflake
Redshift
SQL
Python
Airbyte
Fivetran
Dagster
dbt

Nice to have

Self-directed ownership, such as being the first or only data person or building a data platform from scratch.
ClickHouse-specific experience, including materialized views and performance tuning on event-scale data.
Multi-source identity / entity resolution experience.
Customer-facing or multi-tenant analytics experience, including strict customer-level data isolation.
B2B SaaS operational data experience such as calls, bookings, jobs, billing, or CRM/field-service data (for example, ServiceTitan).

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1mo ago

Data Engineer

Horizontal Talent Boston, MA

Boston, MA

1mo ago Closed

Full time Adobe Campaign AEM Aem Cloud Service

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Horizontal Talent is hiring a Senior Data & Distribution Platform Engineer in Boston to support enterprise data, marketing, and distribution applications with a reliability-focused operations mindset.

Responsibilities

Provide technical direction and help prioritize work across the data and distribution support domain
Own day-to-day support activities including incident investigations, service requests, problem management, operational changes, and release readiness
Lead troubleshooting and perform root-cause analysis within the agreed support scope
Support and monitor enterprise data workflows and platforms, including Snowflake, dbt Cloud, Fivetran, and Collibra
Support enterprise distribution and marketing applications such as AEM, Adobe Campaign, Salesforce C360, and Workfront
Investigate and resolve issues involving APIs, data movement, integrations, and upstream/downstream dependencies
Apply approved operational fixes and preventive improvements within Level 2 support boundaries
Contribute to monitoring, runbooks, diagnostics, and support automation efforts
Improve documentation, knowledge sharing, and recurring-issue prevention practices
Collaborate with technical, product, business, and vendor teams to drive timely resolution and clear communication

Requirements

7+ years of experience supporting enterprise data platforms, SaaS applications, or production environments
Strong hands-on experience with Snowflake, advanced SQL, and Python
Experience with dbt Cloud, Fivetran, or similar data pipeline tools
Solid background in monitoring and troubleshooting production data workflows
Ability to guide technical work, mentor others, or coordinate delivery efforts
Strong root-cause analysis and problem-solving skills
Excellent communication for working with both technical and non-technical stakeholders
Understanding of APIs, integrations, data movement, and production support practices
Familiarity with incident, problem, and change management processes

Technologies

Snowflake
SQL
Python
dbt Cloud
Fivetran
Collibra
AEM
Adobe Campaign
Salesforce C360
Workfront

Preferred Skills

Experience in client-facing, consulting, or managed services environments
Exposure to data governance tools such as Collibra or similar platforms
Experience supporting AEM, Adobe Campaign, Salesforce C360, or Workfront
Knowledge of Azure APIM or other enterprise integration layers
Experience with observability or service management tools
Background in developing operational monitoring, diagnostic tools, or support automation