United States

Data Jobs in United States

3,269 jobs found

Include remote jobs

2mo ago

Workday Data Engineer

Robert Half New York, NY

New York, NY

2mo ago Closed

$65 - $135/hr Full time Data Engineer Data Integration Data Pipeline

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

Job Description

Robert Half is hiring a Workday Data Engineer for an onsite role in New York, NY. The position offers an hourly rate of USD 65 to 135 and requires a minimum of seven years of experience in data engineering, ETL/ELT development, or enterprise data integration. The role focuses on designing, building, and maintaining scalable ERP data pipelines across Workday and related enterprise systems, with emphasis on data quality, governance, and reliable production operations.

Responsibilities

Design, construct, and sustain scalable ERP data pipelines supporting Workday and other enterprise applications.
Own the full lifecycle of ERP data pipelines from ingestion through transformation to delivery.
Support data conversion and migration projects, including mergers, acquisitions, and system integrations.
Ensure data pipelines are reliable, recoverable, and run smoothly in production.
Troubleshoot pipeline failures and determine root causes of data defects and operational issues.
Collaborate with business analysts and stakeholders to translate requirements into practical data solutions.
Apply and uphold SDLC practices, including version control, code reviews, CI/CD, and release management.
Develop and maintain data quality controls covering freshness, completeness, anomaly detection, and schema management.
Proactively detect and manage schema drift and downstream data issues.
Build and maintain monitoring, alerting, and observability for data pipelines.
Optimize performance, scalability, and cost across data workloads.
Monitor operational KPIs such as pipeline success rates, SLAs, incident trends, and recovery times.
Create runbooks, documentation, and audit-ready operational processes.
Collaborate with data governance, security, and compliance teams to enforce controls and manage data access.
Support analytics, reporting, and integration teams by delivering reliable, well-governed datasets.
Communicate effectively with both technical and non-technical stakeholders and escalate risks promptly.

Requirements

At least seven years of experience in data engineering, ETL/ELT development, or enterprise data integration.
Experience operating production data pipelines end to end, including monitoring, testing, and support.
Demonstrated expertise applying SDLC best practices such as version control, code reviews, and CI/CD.
Strong SQL skills and programming experience in Python or similar languages.
Background working with ERP, finance, or enterprise application data within complex environments.

Technologies

Workday
SQL
Python

Benefits

Medical, vision, dental, and life and disability insurance coverage.
401(k) plan eligibility for contract or temporary professionals.

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2mo ago

Data Engineer

Robert Half Nashville, TN 🇺🇸 Remote

Nashville, TN

2mo ago Closed

$120k - $130k/yr Full time Analytics Azure Data Factory Azure Databricks

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

Job Description

Fully remote Data Engineer role in Nashville, TN (remote) with a salary range of USD 120,000–130,000 per year.

Responsibilities

Manage day-to-day operations of the data warehouse to ensure reliable access to trusted data.
Design, construct, and continuously refine data pipelines that move and transform data efficiently across multiple platforms.
Build engineering solutions using Python, Apache Spark, and Databricks to support large-scale processing and analytics workloads.
Create and maintain SQL structures and workflows to improve data quality, accessibility, and consistency.
Apply data modeling principles to organize datasets for reporting, analysis, and downstream applications.
Collaborate with cross-functional teams to capture integration requirements and deliver scalable data solutions aligned with business priorities.
Support cloud based data movement and orchestration, including Azure Data Factory initiatives when needed.
Prepare well-structured datasets to enable reporting and visualization in Power BI, Tableau, or Looker.
Demonstrate a strong background in SQL and data warehouse support, including writing and tuning complex queries.
Acquire hands-on experience with Apache Spark and Azure Databricks for distributed data processing.
Show understanding of data modeling concepts and the ability to structure datasets for analytical use.
Maintain familiarity with visualization tools such as Power BI, Tableau, or Looker.
Operate effectively within Azure based data ecosystems with Microsoft SQL technologies.
C# exposure is a plus but not required.

Requirements

Extensive data engineering experience with substantial hands-on Python in production environments.
Proven SQL and data warehouse support background, including crafting and optimizing complex queries.
Hands-on experience with Apache Spark and Azure Databricks for distributed processing.
Solid knowledge of data modeling concepts and the ability to shape datasets for analysis.
Familiarity with cloud-based data integration tools, including exposure to Azure Data Factory.
Working knowledge of visualization platforms such as Power BI, Tableau, or Looker.
Experience with Microsoft SQL technologies and comfort operating in Azure based data ecosystems.
C# exposure is a plus but not required.

Technologies

Python
Apache Spark
Databricks
Azure Databricks
SQL
Microsoft SQL
Azure Data Factory
Power BI
Tableau
Looker
C#
Azure

Benefits

Medical, vision, dental, and life and disability insurance
Eligible to participate in a 401(k) retirement plan
Complimentary online training resources

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2mo ago

Senior Data Engineer

NS2 Mission Chantilly, VA

Chantilly, VA

2mo ago Closed

Full time Senior Big Data Cloud Operations

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

Job Description

NS2 Mission is seeking a Senior Data Engineer to join its on-site team in Chantilly, VA. The role focuses on leading Python-based data processing, ETL development, and cloud data engineering, while shaping data architecture, mentoring engineers, and driving practices that deliver scalable, mission-critical data solutions. This senior position typically requires 8 to 12+ years in data or related technical fields.

Responsibilities

Drive the end-to-end design, building, and optimization of scalable ETL pipelines and enterprise data workflows
Architect and deploy Python-based data processing solutions in production settings
Offer technical leadership and mentorship to junior and mid-level engineers across the team
Advance data quality, pipeline reliability, scalability, and overall operational performance
Collaborate with engineering leadership, product stakeholders, and cross-functional teams within an Agile framework
Support cloud-native data solutions in AWS and contribute to infrastructure modernization
Engage in technical planning, solution design discussions, and long-term data strategy initiatives
Troubleshoot complex data engineering challenges and advise on best practices and process improvements

Requirements

8–12+ years of experience in data engineering, software engineering, or related technical fields
Deep expertise across the entire ETL lifecycle, including architecture, development, optimization, and maintenance
Advanced Python proficiency for large-scale data processing and pipeline development
Hands-on experience with AWS cloud services such as EC2, Lambda, EKS, S3, and related tools
Experience leading technical initiatives or mentoring engineering teams
Strong understanding of scalable data architecture and engineering best practices
Experience working in Agile development environments

Technologies

Python
AWS
EC2
Lambda
EKS
S3
Apache Airflow
Docker
Kubernetes
Terraform

What we’re looking for

A senior-level Data Engineer who can lead by example while remaining hands-on technically
Someone who enjoys mentoring team members and helping drive engineering best practices
A collaborative technical leader comfortable influencing architecture and solution direction
A candidate with strong Python and ETL expertise who can contribute immediately to complex data engineering initiatives
Someone excited to help shape and scale modern cloud-based data solutions within a growing team

Position clearance requirement

TS/SCI with an FSP

We win with inclusion

NS2 Mission’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At NS2 Mission, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

Preferred qualifications

Experience with workflow orchestration tools such as Apache Airflow
Experience with containerization technologies including Docker and Kubernetes
Experience with infrastructure as code tools such as Terraform
Familiarity with CI/CD pipelines and DevOps best practices
Strong analytical and problem-solving skills with the ability to improve data quality and operational efficiency

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2mo ago

Data Engineer

Asylon Norristown, PA

Norristown, PA

2mo ago Closed

$120k - $160k/yr Full time Python Azure Azure Data Lake Storage

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

Job Description

Asylon offers an onsite Data Engineer role in Norristown, PA with a competitive annual salary of $120,000 to $160,000. You will architect, build, and maintain real-time data streams from a fleet of robots, managing video, telemetry, and sensor data to enable low-latency monitoring, debugging, and ML model training. The position provides a comprehensive benefits package, including 401(k), health insurance, dental insurance, vision insurance, and paid time off.

Technologies you’ll work with include Python, Azure Data Lake, and Kubernetes.

Responsibilities

Design and optimize high-throughput, low-latency data pipelines using cloud (Azure) and on-prem services, specialized for streaming and time-series data.
Ingest and process data from robot telemetry (position, velocity, battery life, etc.).
Develop solutions for efficient ingestion, storage, and retrieval of high-resolution video and LiDAR point cloud data.
Facilitate efficient data access for R&D teams.
Collaborate with software engineers to define data formats and communication protocols for transmission from the robot to the cloud.
Implement mechanisms to handle intermittent connectivity and ensure data completeness.

Requirements

5 years of experience as a Data Engineer in Robotics, IoT, or Autonomous Systems domain (Required).
Minimum of 3 years of hands-on experience in a Data Engineering role with a focus on real-time or streaming data.
Experience with data storage services, including cloud-based (such as Azure Data Lake) and self-hosted solutions.
Expert-level proficiency in Python and data query languages.
Experience with streaming data processing frameworks.
Experience with time-series databases.

Technologies

Python
Azure Data Lake
Kubernetes

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance

Job Details

Location: Onsite in Norristown, PA
Schedule: Monday to Friday, weekends as needed
Salary: $120,000 - $160,000 per year
Job Type: Full-time

Application Questions

Are you a U.S. Person as defined by 22 C.F.R. §120.62, including U.S. Citizens, lawful permanent residents, refugees, or asylees? (Yes or No)

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2mo ago

CMDB Data Engineer

Leidos Tampa, FL

Tampa, FL

2mo ago Closed

$108k - $195k/yr Full time Manager CMDB Data Analysis

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

Job Description

Leidos is seeking a CMDB Data Engineer to serve as the technical Subject Matter Expert for CMDB while leading a team as a Deputy Program Manager on the USCENTCOM CITS contract. This onsite role in Tampa, FL centers on maintaining CMDB accuracy and delivering data-driven insights to support enterprise IT operations. Compensation ranges from USD 107,900 to 195,050 per year.

Responsibilities

Deputy Program Management: Support the Program Manager with contract execution, strategic planning, resource allocation, and risk management.
Customer Engagement: Act as a secondary point of contact for USCENTCOM leadership and stakeholders, stepping in as PM when needed to ensure seamless program delivery.
People Leadership: Directly supervise a team of IT and data professionals, conducting performance evaluations, career development planning, mentoring, and approving timecards and leave.
Staffing & Onboarding: Oversee hiring, interviewing, and onboarding to maintain a highly skilled workforce.
Program Reporting: Assist in evaluating contracts, managing program budgets or resource forecasts, and clearly communicating insights, risks, and plans to cross-functional teams and senior management.
CMDB Management: Ensure CMDB accuracy while adhering to standard operating procedures within enterprise processes.
Data Analysis: Analyze data and research issues using SQL and other query tools.
CI Lifecycle Management: Manage the lifecycle of Configuration Items (IT services and assets) from deployment to decommission.
Problem Solving: Break down complex problems into practical, actionable solutions.
Data-driven Stakeholder Communication: Proactively analyze data to answer key questions and share findings to drive performance among stakeholders.
CI Metrics: Define and document configuration item metrics across their lifecycle.
Data Requirements & Quality: Gather information from multiple stakeholders to specify and validate business reporting or data extracts using data mapping and data quality techniques.
Process Improvement: Evaluate business processes, anticipate requirements, identify improvement opportunities, and develop data-driven solutions using analysis and profiling.
CM Procedures & Compliance: Establish and develop overarching Configuration Management procedures and compliance standards, defining responsibilities, authorities, and plan approval levels.

Requirements

Bachelor’s degree in Information Technology, Business Administration, or a related field is preferred, with at least 8 years of relevant experience in data analysis, data science, configuration management, or related IT programs.
Active TS/SCI clearance required.
Program & People Management: 3+ years in a supervisory role managing technical personnel and assisting with program/project management tasks.
5+ years of experience in Configuration Management.
5+ years with ServiceNow, including CMDB administration and integration.
Proven ability to ensure quality, accuracy, and usability of the ServiceNow CMDB.
Ability to collaborate with ServiceNow Administrators.
Experience configuring and integrating discovery tools and Sensors with the ServiceNow CMDB to import data from authoritative sources while preserving data integrity.
Experience or participation in data normalization efforts prior to CMDB ingestion.
Ability to perform routine CMDB data audits.
Experience working with internal and external stakeholders to understand product demand and manage CMDB and platform data requirements.

Technologies

SQL
ServiceNow
CMDB

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

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2mo ago

Data Analyst x2

Matlen Silver Redmond, WA

Redmond, WA

2mo ago Closed

$55 - $58/hr Contract Analyst Analytics Business Analytics

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

Job Description

Matlen Silver is seeking two contract Data Analysts for a hybrid role in Redmond, WA. These positions focus on collecting, processing, mapping, and analyzing data to support a Product Lifecycle Management (PLM) system implementation, including data cleanup, validation, and collaboration with cross-functional teams to ensure accurate data loads and actionable insights.

Position Details

Locations: Redmond, WA (hybrid)
Employment type: Contract
Compensation: USD 55 - 58 per hour
Openings: 2
Minimum experience: 1 year
Education: Bachelor’s Degree required

Responsibilities

Assist the Project Lead and Work Stream Lead with Bills of Material, Parts, and related documentation
Collaborate with stakeholders to clarify data requirements and business objectives
Validate and verify data for multiple PLM data loads
Support data cleanup by submitting requirements and coordinating with IT for PLM and ERP integration
Execute data cleanup and maintenance following IT processes for mass data updates
Create reports, dashboards, and data visualizations using Power BI, Tableau, or Excel
Analyze data to identify trends, patterns, and actionable insights
Translate complex data findings into clear, actionable guidance
Develop documentation control methodologies to support the PLM tool
Ensure data accuracy, integrity, and consistency across systems
Automate data processes and improve reporting efficiency where feasible
Extract and analyze data to support informed, critical decision-making
Perform other related duties as assigned

Requirements

Bachelor’s Degree is required
Degree in data analytics, statistics, mathematics, computer science, or a related field
Proven experience as a Data Analyst or in a similar role
1–3 years of related experience in a business environment
Experience implementing and configuring PLM systems; Windchill experience preferred but not required
Intermediate to advanced knowledge of Microsoft Office applications (Excel, Outlook, Word, PowerPoint)
Professional presentation skills and strong interpersonal communication abilities
Strong proficiency in data analysis tools (e.g., Excel, SQL)
Ability to interpret complex data and communicate insights clearly
Experience working in PLM or other collaborative environments
Effective task management with prioritization skills
Self-motivated, organized, efficient, and process-oriented
Strong work ethic and a team player mindset
Tactful with independent judgment and discretion
Ability to work well under pressure in a dynamic environment
Strong judgment and time management capabilities
Ability to independently write, review, and implement work instruction content in support of new systems and processes

Technologies

Power BI
Tableau
Excel
SQL
Windchill
Microsoft Office

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2mo ago

Data Analyst - AI Trainer

DataAnnotation Meriden, CT 🇺🇸 Remote

Meriden, CT

2mo ago Closed

$50 - $100/hr Contract Python Ai Ml Ai Trainer

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

Job Description

DataAnnotation offers a Data Analyst - AI Trainer role focused on shaping AI model training through designing coding problems, crafting code snippets, and evaluating AI-generated code, with remote, flexible scheduling and hourly pay.

Responsibilities

Design and solve a range of coding problems used to train AI systems.
Produce clear, high quality code snippets accompanied by thorough explanations.
Assess AI-generated code for accuracy, performance, and readability.
Provide actionable feedback to influence the next generation of AI models.

Requirements

English fluency at native or bilingual level.
Proficiency in at least one of these languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Strong writing and grammar skills.
A bachelor's degree completed or in progress.

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Compensation

Hourly rate: USD 50 - 100 per hour.

Location

Meriden, Connecticut with remote work options.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and hours on your own computer from home.
Competitive pay: hourly projects, with potential higher bonus rates for certain assignments.
Impact: contribute to the development of AI technologies.

Note

Payment is processed via PayPal; no fees charged to you, and PayPal handles currency conversions from USD.
The role is available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand; candidates outside these regions will not see work or assessments on DataAnnotation's site at this time.