Senior Data Engineer

Senior Data Quality Engineer (Contract) Location: Onsite – Wilmington, DE or Buffalo, NY (4 days/week in office) Duration: Through end of 2026, with expected extension through Dec 2027 Note: We do not work with third parties or vendors. Direct applicants only. About the role We’re looking for a hands-on Senior Data Engineer to build automation-first controls that detect, diagnose, and remediate data issues at scale. You’ll design and operationalize data quality validation pipelines, integrate with observability tools, and orchestrate end-to-end workflows across cloud and on-prem environments. What you’ll do • Build automated data quality pipelines (profiling, rules, schema validation, anomaly detection, exception workflows) using Python and SQL • Integrate systems via REST/GraphQL APIs (OAuth2, pagination, rate limits, retries/backoff, webhooks) • Create reusable, versioned DQ rule libraries with unit tests, linting, and code quality standards • Embed DQ controls into ETL/ELT processes with pre/post-load checks and SLA/SLO monitoring • Route exceptions to tools like Jira/ServiceNow with rich metadata for audit and traceability • Develop operational dashboards and workflow apps using Power BI and Power Apps • Drive root-cause analysis using lineage, logs, and metrics; automate remediation where possible • Contribute to CI/CD for DQ assets (GitLab or similar) and maintain runbooks/playbooks Minimum qualifications • Bachelor’s + 5+ years relevant experience (or 9+ years combined education/work with 5+ years relevant) • Advanced Python and SQL for automation and validation pipelines • Strong API engineering experience (REST/GraphQL, OAuth2, error handling, webhooks/event-driven workflows) • Experience with Power BI and Power Apps • Proven ability to partner with engineering, governance, and business teams in fast-paced environments Nice to have • DQ/observability platforms (Informatica Cloud DQ, Monte Carlo, Anomalo, Collibra OwlDQ) • Data contracts, schema enforcement, governance-aligned DQ frameworks, CI/CD practices Cloud experience (Azure and/or Snowflake), event-driven tooling, and anomaly detection techniques