Data Engineer jobs in United States
Explore 885 matching jobs.
Staff Software Engineer – Data Acquisition
WEX
Posted: 10/21/2026Senior Software Engineer, Data Infrastructure – RDBMS
TRM Labs
Posted: 10/21/2026Databricks Data Engineer – Data Contracts, OCDS
Scicom Infrastructure Services
Posted: 10/21/2026Senior/Staff Backend Engineer, Platform & Data Ingestion
Verana Health
Posted: 10/21/2026Data Engineer Internship
American Family Insurance
Posted: 10/21/2026Controls Engineer – Data Centers
Barry-Wehmiller
Posted: 10/21/2026Financial Management Data Engineer
Guidehouse
Posted: 10/21/2026Manager, Data Engineering
Capital Blue Cross
Posted: 10/21/2026Senior Data Engineer, Payments
Airbnb
Posted: 10/21/2026Data Engineer I, Databricks, MLOps
Travelers
Posted: 10/21/2026Manager, Data Engineering
Association of American Medical Colleges (AAMC)
Posted: 10/21/2026Senior Data Engineer
The Ohio State University, Main Campus
Posted: 10/21/2026Senior Data Engineer
Thomson Reuters
Posted: 10/21/2026Software Engineer, Data Platform Lead – Horizon AI
STN Incorporated
Posted: 10/21/2026Data Engineer
General Dynamics Information Technology
Posted: 10/21/2026Principal Data Architect
Public Partnerships | PPL
Posted: 10/21/2026Data Engineer/Architect
Leidos
Posted: 10/21/2026Principal Engineer – Data Science
Verizon
Posted: 10/21/2026Principal Engineer – Data Science
Verizon
Posted: 10/21/2026Lead Cloud Data Engineer
Baptist Health
Posted: 10/21/2026Core Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining high-performance data acquisition pipelines, with a strong focus on modular design, schema validation, and automated testing practices. Proven ability to lead technical architecture decisions and mentor engineering teams while ensuring data integrity and security.
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build and maintain high-performance data acquisition pipelines integrating systems across WEX and third-party vendors
- Lead design and delivery of a modular ingestion platform with reusable connectors and configuration-driven onboarding
- Establish metadata and configuration patterns to reduce source-specific development and support Data Acquisition as a Service
- Build schema validation, completeness checks, reconciliation, duplicate prevention, and audit logging into shared ingestion components
- Support safe retries, replay, backfills, and schema evolution
- Design batch, CDC, and streaming ingestion patterns meeting freshness, throughput, and recovery requirements
- Evaluate performance, source-system impact, and operating cost when selecting and extending ingestion technologies
- Ensure traceability, lineage, and security through integration with control plane and governance systems
- Lead design and code reviews
- Maintain technical specifications and architectural decisions
- Mentor engineers in reusable platform design
- Establish automated testing and CI/CD practices for ingestion code, connector configuration, and infrastructure
- Partner with production support on complex escalations, root-cause analysis, and preventive engineering improvements
- Establish baselines and outcomes with engineering and product leadership, including reducing onboarding effort, increasing reusable capability adoption, improving data completeness and freshness, and reducing deployment failures
Requirements
What you’ll need- B.Sc. in Computer Science, Engineering, or related technical field
- 8+ years of software engineering experience
- Experience delivering production distributed systems or data platforms
- Demonstrated technical leadership across team boundaries
- Strong programming skills in Python, Java, Scala, or another systems-focused language
- Experience with data integration and ingestion pipelines
- Solid engineering fundamentals, including version control, modular design, testing, and performance tuning
- Experience designing and operating production integrations handling schema evolution, failure recovery, observability, and secure access
- Ability to lead architecture decisions, explain engineering tradeoffs, resolve cross-team dependencies, and guide implementation through production adoption
- Practical experience using AI-assisted engineering tools for design, coding, testing, or documentation
- Validation of AI-generated outputs for correctness, security, and maintainability
- Collaborative mindset across domains, products, and infrastructure layers
- Strong ownership and accountability
- Candidate must reside within 30 miles of Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; or Seattle, WA
- M.Sc. in a related field is a plus but not required
- Experience building reusable connectors, metadata-driven ingestion services, or configuration-driven onboarding capabilities is preferred
Benefits
Comp & perks- Health, dental and vision insurances
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
- Quarterly or annual bonus eligibility for non-sales roles
ATS Keywords
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