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 4, 2026

Hiring at a glance

View jobs

Open jobs: 4,568
Employers: 2,019

Advertised starting pay

Average starting payUSD / year: $125,868Across 803 listings
Average starting payUSD / hour: $60.65Across 467 listings

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

Where work happens

Remote: 12%561 listings
Hybrid: 6%287 listings
On-site: 8%343 listings

Not specified: 74% (3,377 listings)

Employers hiring include Eliassen Group (295), Booz Allen Hamilton_United States (74), Insight Global (67).

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

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Added 24 days ago
Staff Data Engineer
DexCom Inc
San Diego, CA
Added 24 days ago
Data Engineer
Tresata
Charlotte, NC
Added 24 days ago
II
Data Engineer
Infopact, Inc.
Arlington, VA
- $130,000 to $160,000 USD / year
Infopact is seeking an experienced Data Engineer to support large-scale Department of Defense data and financial management initiatives. The ideal candidate will have hands-on experience…
Added 24 days ago
Senior Data Engineer
HRCUS RAPP Illinois Inc
Chicago, IL
…global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we…
Added 24 days ago
IO
Data Engineer
Institute of Foundation Models
Sunnyvale, CA
- $150,000 to $450,000 USD / year
…foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most…
Added 24 days ago
Data Engineer
Rhino
Remote, United States
Added 24 days ago
Data Engineer / Backend Developer
Lexical Intelligence, LLC
Bethesda, MD
Lexical Intelligence is seeking a Data Engineer / Backend Developer to design, build, and maintain scalable web applications and content management solutions that support enterprise…
Added 24 days ago
Data Engineer - Knowledge Graphs & Semantic Technologies
RCH Solutions
Remote, United States
Added 24 days ago
Senior Data Engineer (Remote)
Zencastr
Remote, United States
As our first dedicated Data Engineer, you will build and own the data foundation that powers analytics, reporting, and decision-making across the organization. This is a hands-on role where…
Added 24 days ago
Data Engineer, JR
KBR Wyle Services, LLC
Chantilly, VA
KBR is seeking a Data Engineer to support one of our government customers in Reston, Virginia. The Data Engineer utilizes a diverse range of data-focused skills, experience, deep technical…
Added 24 days ago
GH
Founding AI/Data Engineer (Remote)
Glass Health Inc.
Remote, United States
- $120,000 to $210,000 USD / year
Added 24 days ago
SF
Senior Data Engineer
SoLo Funds
Los Angeles, CA · New York City, NY
- $150,000 to $180,000 USD / year
SoLo is building the data function of the future: one professional, operating a team of AI agents rathe
Added 24 days ago
Senior Data Engineer, Microsoft Fabric & AI
GS1
Ewing, NJ
GS1 Global Office is seeking a Senior Data Engineer, Microsoft Fabric & AI to join the Business Intelligence and Data Analytics team. The role will design, build and support secure,…
Added 24 days ago
Data Engineer I (Databricks, AWS, Python)
Travelers Indemnity Co
Hartford, CT · St. Paul, MN · Hunt Valley, MD
Added 24 days ago
Data Engineer II - Snowflake, dbt, AWS
Travelers Indemnity Co
Hartford, CT · Richardson, TX · St. Paul, MN
Added 24 days ago
P
Senior Data Engineer - Graph Specialist
Post.
Remote, United States
- $150,000 to $200,000 USD / year
Added 24 days ago
Data Scientist / Data Engineer
Game Plan Tech
WA · Reston, VA
Added 24 days ago
Sr. Data Engineer – Real Estate Private Equity
FCP
Chevy Chase, MD
We are currently seeking a Sr. Data Engineer to join our Washington, DC team. FCP’s technology team is at the forefront of this transformation, leveraging AI, automation, and modern d
Added 24 days ago
Data Engineer
Booz Allen Hamilton_United States
Arlington, VA · San Diego, CA
…intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when…
Added 24 days ago
Gen AI - Data Engineer II
Travelers Indemnity Co
Atlanta, GA
Added 24 days ago
FI
Data Engineer Co-op
Found Industries
Cambridge, MA
- $32 USD / hour
Added 24 days ago
Data Engineer I (Databricks, AWS, Python)
Travelers Indemnity Co
Hartford, CT
Added 24 days ago
Data Engineer I (AWS, Databricks)
Travelers Indemnity Co
Hartford, CT · St. Paul, MN
Added 24 days ago
Data Engineer
KBR Wyle Services, LLC
Chantilly, VA
KBR is seeking a Data Engineer to support one of our government customers in Reston, Virginia. The Data Engineer utilizes a diverse range of data-focused skills, experience, deep technical…
Added 24 days ago
CR
Senior Data Engineer
CoStar Realty Information, Inc.
United States
- $133,000 to $172,000 USD / year

RCH Solutions

Data Engineer - Knowledge Graphs & Semantic Technologies

Remote, United States

Apply About employer

Applications open in a new tab.

Job details

Apply by: Dec 31, 2026
Posting language: English
Posted: Oct 2, 2026

Original job description

Core Values At RCH, our Core Values are more than just words - they represent the threads that weave together the fabric of our culture. Used as a guide when interviewing new team members; as a barometer when evaluating our performance as individuals and teams, and even when deciding which customers to work with, RCH’s Values embody the behaviors upon which we measure our success and create a framework for our growth as people and professionals.

Our Core Values:

Embrace Excellence: We strive for best-in-class delivery of innovation and service.
Be Accountable: Integrity, ownership and accountability are non-negotiables.
Adventure Together: We are committed to fostering a culture that embraces continuous improvement.
Succeed as a Team: We believe harnessing the power of a team drives outcomes not achievable by individuals.
Boundaries and Balance: Work-life balance is a core facet of our culture.

If you share in our core values, then we encourage you to continue reading this posting as you may have found a great home for your career.About the profile RCH Solutions is looking for a Data Engineer specialised in knowledge graphs and semantic technologies to join our growing Data and AI Engineering team of professionals who thrive at the intersection of data, technology, and healthcare. This is a hands-on role for someone who can take ownership of a semantic layer end to end - shaping the approach with clients and colleagues, not just implementing a specification handed to them.

At RCH, you’ll build knowledge graphs in Stardog that connect fragmented life science data - across research, clinical, regulatory and operational domains - into models that people and machines can actually reason over. You’ll work alongside our data platform and AI engineers, contributing the semantic backbone to modern data mesh and data fabric architectures.

Responsibilities

Design, build and evolve knowledge graphs in Stardog, from conceptual model through to production deployment.
Model domain ontologies, taxonomies and vocabularies using RDF, RDFS, OWL and SKOS, and enforce them with SHACL constraints.
Write, optimise and troubleshoot SPARQL queries, rules and inference over large graphs.
Integrate heterogeneous sources into the graph using virtual graphs and mappings (R2RML and similar) from relational databases, APIs, files and semi-structured data.
Run discovery sessions with subject matter experts, turning business questions into competency questions and a defensible semantic model.
Align internal models with life science standards and public ontologies, and manage identifier mapping and entity resolution across sources.
Automate graph builds, tests and deployments through CI/CD pipelines and Python tooling.
Embed data quality, validation and reconciliation checks into the graph lifecycle.
Document models and enable others - governance, lineage, and reusable semantic assets that outlive the project.
Work in agile teams, contributing to standups, retrospectives, and continuous improvement.

Essential Qualifications

Hands-on experience delivering production knowledge graph solutions with Stardog. Experience with other RDF triplestores (GraphDB, Amazon Neptune, Virtuoso, Anzo) counts as transferable if you’re ready to go deep on Stardog.
Strong command of semantic web standards: RDF, RDFS, OWL, SKOS, SHACL and SPARQL.
Practical ontology and taxonomy modelling - able to move from stakeholder conversations and messy source data to a model that holds up in production.
Experience mapping and virtualising relational and semi-structured sources into a graph.
Solid Python and SQL for data preparation, transformation, automation and troubleshooting.
Comfortable with Git-based workflows and CI/CD (GitHub Actions or Azure DevOps).
Experience working with life science or healthcare data, and comfortable with the quality and regulatory expectations that come with it.
Autonomy and ownership: you scope your own work, propose an approach, defend it, and bring the team along - rather than waiting for a fully specified ticket.
Working knowledge of data quality, validation frameworks, and test-driven data development.
Team-first mindset and experience in agile environments (Scrum or Kanban).

Preferred Qualifications

Familiarity with public life science ontologies and terminologies (e.g. SNOMED CT, MeSH, ChEBI, UMLS, LOINC).
Exposure to at least one life science domain: clinical and clinical trial data (CDISC, SDTM), R&D and drug discovery, regulatory (RIM, IDMP), or manufacturing, supply chain and quality.
Understanding of GxP or other healthcare data regulations.
Familiarity with FAIR data principles.
Experience combining graphs with AI - GraphRAG, vector search, or LLM-assisted ontology work.
Exposure to property graphs (e.g. Neo4j) and how they compare with RDF.
Knowledge of data lineage, catalog and governance tooling.
Infrastructure automation using Terraform, Bash, or PowerShell, and containers (Docker, Kubernetes).

Additional information Great talent should benefit from a great work environment. If you join our team, you’ll have access to:

A competitive salary and bonus package based on experience.
Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance.
Company-provided Life and Long-Term Disability Insurance.
Company-sponsored 401(k) Plan.
Team-focused culture and unlimited opportunity for advancement.

**This is a remote role and the candidate must be available to work on an East Coast (US) time schedule.

**Role is only open to applicants not needing sponsorship now or in the future, no third parties please.

Apply About employer

More about this job

Skills

Research
Troubleshoot
SPARQL
CI/CD
Python
Process improvement
SQL
Troubleshooting
Git
GitHub
Microsoft Azure
DevOps
Scrum
Kanban
Supply chain management
Neo4j
IBM Terraform
Bash
Microsoft PowerShell
Docker
Kubernetes

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