Data engineer jobs in the United States

Find data engineer jobs across the United States. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 1, 2026

Hiring at a glance

View jobs

Open jobs: 4,408
Employers: 1,969

Advertised starting pay

Average starting payUSD / year: $126,100Across 785 listings
Average starting payUSD / hour: $60.76Across 466 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 13%562 listings
Hybrid: 6%282 listings
On-site: 8%337 listings

Not specified: 73% (3,227 listings)

Employers hiring include Eliassen Group (301), Booz Allen Hamilton_United States (75), Insight Global (69).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in the United States

Save this search

Added 8 days ago
Sr Data Engineer
Aegon Asset Management
Cedar Rapids, IA
Added 8 days ago
Senior Data Engineer, Supply Chain & AI - Onsite Framingham, MA
Staples Canada
Framingham, MA
As a Senior Data Engineer I, you will design, build, test, deploy, and operate modern data products for Stapl
Added 8 days ago
Data Engineer
Caterpillar, Inc.
Irving, TX
Added 8 days ago
Data Engineer / BI Developer – GCP, dbt & Power BI
OSI Digital
Dallas, TX
Job Title: Data Engineer / BI Developer – GCP, dbt & Power BI
Added 8 days ago
Data Engineer - Databricks
System One
Pittsburgh, PA
Seeking an experienced Data Engineer to join a high-performing data engineering team responsible for building modern, cloud-native data platforms on Microsoft Azure.
Added 8 days ago
Data Engineer
ThermoFisher Scientific
Pittsburgh, PA
Added 8 days ago
Operations Data Engineer (On Site Only)
ZOLL Services LLC (on SAM site)
Pittsburgh, PA
Added 8 days ago
T
Senior Data Engineer
TEKsystems
Charlotte, NC
- $49.84 to $54 USD / hour
We are seeking a midlevel Data Engineer with hands‑on expertise in Hadoop, PySpark, Python, and real‑time streaming technologies such as Kafka. This role supports a large‑scale migration of…
Added 8 days ago
Data Engineer Principal
BLUE SHIELD OF CALIFORNIA
MILWAUKEE, WI
JOB REQUIREMENTS: Your Role The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The…
Added 8 days ago
Business Data Engineer
Myriad Genetics Inc
SALT LAKE CITY, UT
…datasets from upstream Oracle source systems into Snowflake cloud data warehouses. Ensure smooth data extraction, transformation and loading using Fivetran. Improve business data pipelines…
Added 8 days ago
Senior Data Engineer, Amazon Security Experience
Amazon
Seattle, WA
The Amazon Security Experiences (ASE) organization is the data intelligence backbone of Amazon Security. We build and operate the data platform that powers security insights, builder…
Added 8 days ago
Data Engineer-Consultant- AI&E
Deloitte
Williamsville, NY · Rochester, NY · New York, NY · Jericho, NY
…wants to work in a collaborative environment? As an experienced Data Engineer Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 8 days ago
Data Engineer - Lilly Medicine Foundry
Lilly
Indianapolis, IN
Added 8 days ago
AlloBaas - Data Engineer II
First Mutual Holding Co
Lakewood, OH
Apply Job Type Full-time Description Position Summary: This role is under the AlloBaas subsidiary of FMHC. The Data Engineer II will play a vital role in our Data transformation journey -…
Added 8 days ago
Senior Data Engineer - AMG Tech
PNC
Strongsville, OH
Added 8 days ago
Data Engineer II
Gilbane Building Company
Darbydale, OH
Data Engineer II Job Locations US-RI-Providence | US-MA-Boston | US-GA-Atlanta | US-FL-Orlando | US-IL-Chicago | US-OH-Columbus | US-NC-Charlotte | US-CT-Glastonbury Requisition ID…
Added 8 days ago
Data Engineer, Principal
California Physician Services
Darbydale, OH
Your Role The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data…
Added 8 days ago
Data Engineer, Consultant
California Physician Services
Darbydale, OH
Your Role The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data…
Added 8 days ago
Data Engineer, Senior
California Physician Services
Darbydale, OH
Your Role The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Senior…
Added 8 days ago
Senior Data Engineer
Credence Management Solutions LLC
Dayton, OH
…humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace…
Added 8 days ago
Data Engineer
Interstates Construction Services Inc.
Cincinnati, OH
Added 8 days ago
Senior Data Engineer III - 3053733
Apex Systems, Inc.
Cincinnati, OH
Job#: 3053733 Job Description: Title: Senior Data Engineer Location: Cincinnati, Ohio (Onsite) Duration: 3+ Months Role Overview This role involves the design and construction of scalable…
Added 9 days ago
ICAM Data Engineer – IGA Analytics & Reporting
GD Information Technology, Inc.
Remote, United States
Added 9 days ago
Data Engineer II, NASC Data Engineering
Amazon.com Services LLC
Bellevue, WA
…to join the NASC SPEeD (Sortation Products Engineering and Data) team. The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services (ATS) group,…
Added 9 days ago
Data Engineer | VA Claims Modernization
LMI
United States
LMI is seeking a talented and mission-driven Data Engineer to support the U.S. Department of Veterans Affairs (VA), with a focus on modernizing Veterans Benefits Administration (VBA) claims…

InterMed

AI Data Engineer

South Portland, ME, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: 3-5 years of hands-on experience with AI, data engineering, BI development, or data architecture, with demonstrated ownership of production pipelines and infrastructure
Posting language: English
Posted: Oct 23, 2026

Original job description

SUMMARY: The AI Data Engineer is a hands-on technical expert who builds the data foundation and AI-driven applications that help InterMed automate work and make better decisions. The role develops custom applications and AI agents that automate business and clinical workflows end to end, creatively leverages EMR and other healthcare data, and helps the Business Intelligence (BI) team grow its Python and AI-assisted development skills. It also builds and optimizes InterMed’s cloud data platform on Microsoft Fabric and Power BI, including the semantic models that power AI-assisted reporting and self-service, while supporting the existing SQL environment as workloads move to Fabric. The ideal candidate combines strong data engineering fundamentals with hands-on experience in LLM and AI tooling and is excited to leverage AI capabilities to reshape data strategy

CORE RESPONSIBILITIES:

Data Platform
Assist with the migration of BI workloads from the on-premises SQL and SSIS environment to Microsoft Fabric; assess which legacy packages to retire, rebuild, or re-architect, and maintain existing SQL Server, SSMS-based workflows, and SSIS packages to ensure continuity of reporting during the transition
Design and build data pipelines into Fabric OneLake from source systems (for example, eClinicalWorks, payer and ACO files etc.), including orchestration, scheduling, dependency management, alerting, and failure recovery
Complete the data warehouse build-out across priority subject areas, applying a SQL-based transformation framework (for example, dbt) for modular, tested, version-controlled, and documented data models
Build and publish certified Power BI semantic models with governed measures, definitions, and business-friendly descriptions that power Copilot report building and self-service data agents, and support the transition of reporting from Tableau to Power BI
Build and maintain Python automation scripts and APIs that support data pipelines, applications, and agents
Ensure strong data quality, integrity, and security controls across the platform, including HIPAA and PHI safeguards and automated monitoring and alerting on key data quality metrics
AI Use & Development
Evaluate and integrate LLM-powered tooling (for example, Claude, Copilot, or equivalent) to accelerate data workflows and enable natural-language data access
Establish team standards for responsible AI-assisted development, including use of AI tools to write, review, test, and document code and queries, with human review of generated output
Use AI to optimize dashboard builds and capabilities for end user agents and self-service analytics
Design, build, and deploy purpose-built applications and AI agents that automate BI, IT, other administrative and clinical workflows end to end, from data intake through action and audit trail
Develop custom apps and agents using low-code tools within the Microsoft ecosystem (for example, Power Apps, Power Automate, and Fabric data agents) and Python- and LLM-based custom agents for multi-step workflows where low-code tools fall short
Creatively leverage EMR and other data sources, including structured fields, clinical documentation, and other unstructured sources, to support new analytics, automation, and clinical and operational use cases, in compliance with HIPAA and PHI safeguards
Partner with IT on the integration, deployment, and ongoing operation of applications and agents
Serve as an advisor to IT and business partners on AI vendor point solutions: assessing fit, overlap with in-house capabilities, data access and integration requirements, and build-versus-buy tradeoffs
Develop analyst capability in Python, flexible coding, unstructured data techniques, and AI-assisted development through coaching, code review, and shared patterns and templates
Maintains strict confidentiality in alignment with HIPAA (Health Insurance Portability and Accountability) guidelines and InterMed policies.
Perform other duties to support the mission, vision and values of InterMed.

MISSION AND VALUES:

Follows InterMed’s mission to provide patient-centered primary care, putting the patient first to deliver high quality, high value care.
Provide the highest quality care to our patients with a level of service that exceeds their expectations.
Maintain a positive attitude and always treat our patients and each other with dignity and respect.
Insist on honesty and integrity from each other and our business partners.
Make teamwork a core component of our relationships between physicians, colleagues, and patients.
Embrace change to better serve our patients.
Use business practices that feature individual accountability and group responsibility to ensure delivery of high value healthcare.
Have fun as we carry out our mission to serve.

SKILLS & COMPETENCIES:

Python or equivalent for data engineering: writing modular, testable pipeline code, custom operators, and data quality scripts
Proficient SQL and strong data modeling expertise, including dimensional modeling, star schema design, and performance optimization - with hands-on experience in SQL Server environments
Uses AI coding assistants and LLM-powered tools as part of everyday work to accelerate data engineering, analysis, and documentation; applies judgment, reviews AI-generated output, and understands AI’s limitations
Experience designing Power BI semantic models, including relationships, governed measures, and descriptions that support accurate AI-generated reports and answers
Deep knowledge of modern data architecture patterns (for example, lakehouse, medallion, or cloud ELT) and the ability to map a path from legacy on-premises environments to those patterns
Hands-on experience with a SQL-based transformation framework (for example, dbt) and a pipeline orchestration tool
Experience building applications or AI agents that automate multi-step workflows, using low-code platforms (for example, Power Apps and Power Automate) and/or Python with LLM APIs and agent frameworks
Ability to work with unstructured and semi-structured data (for example, clinical notes, documents, and JSON) in addition to relational data
Ability to coach analysts with varied technical backgrounds and raise team coding standards
Familiarity with Microsoft Fabric and Power BI and how they fit within a broader Microsoft environment (Azure, M365, Microsoft Entra ID) preferred
Experience in healthcare, health tech, or regulated environments; HIPAA/PHI familiarity a plus
Strong analytical reasoning and problem-solving skills; able to operate effectively in ambiguous environments and lead through uncertainty
Clear communication skills with the ability to explain technical concepts, architecture tradeoffs, and migration plans to non-technical audiences and leadership

KNOWLEDGE, SKILLS, AND ABILITIES:

Education:
Bachelor’s degree in Computer Science, Information Systems, or a related field; or equivalent combination of education and experience
Experience:
3-5 years of hands-on experience with AI, data engineering, BI development, or data architecture, with demonstrated ownership of production pipelines and infrastructure
Proficiency in Python for data engineering: transformation, automation, pipeline development and data quality scripts
Advanced SQL skills with hands-on experience in SQL Server and SSMS-based environments preferred
Hands-on, daily experience using AI coding assistants and AI tools (for example, Claude Code, GitHub Copilot, or similar) to write, test, debug, and document code and queries
Familiarity with Microsoft Fabric, Azure data services, Snowflake or a comparable cloud data platform, and how it integrates within a broader Microsoft technology environment
Deep understanding of data engineering, analytics, and end-to-end data workflows from source system to consumption layer
Demonstrated experience delivering at least one production application, automation, or AI agent that replaced a manual business process
Experience with version control, CI/CD workflows, and code review practices for data assets
Demonstrated ability to design, document, and govern enterprise data models and architecture

Apply About employer

Report this job