Job Title:Lead Data Engineer (GenAI tools or AI/ML)
Location:Dallas, TX
Duration: 12 Months + Extension
Bill Rate: $83/hour
Job Type: W-2 Contract
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
Job Description
About the Role
- Data team builds and operates the data marts and pipelines that power HR/Workforce reporting and analytics across Client. We're looking for a hands-on Data Engineer who can operate independently. High-visibility, high-ownership role at the center of HR data platform direct exposure to AI initiatives, cross-functional stakeholders, and the chance to meaningfully reduce day-to-day operational load for the team.
Responsibility
- Build, maintain, and troubleshoot Spark/EMR ETL pipelines feeding HR and Workforce data marts.
- Monitor and remediate Data Asset Score issues (data quality rules, governance/PII-minimization actions) to keep HR data assets compliant ahead of deadlines.
- Be the daily coordination point between US HR business stakeholders, the IDC (India) engineering team, and platform/infra teams - translating requirements, unblocking IDC, and reporting status.
- Triage and resolve Jira tickets/bugs raised against HR data mart pipelines; write clear runbooks and pipeline documentation.
- Build semantic layers and Retrieval-Augmented Generation (RAG) pipelines.
- Integrate REST and/or GraphQL APIs into data workflows.
- Operate with minimal oversight: escalating only true blockers and proactively flag risks before they become incidents.
Required
- 8+ years in Data Engineering, with strong hands-on Spark (PySpark/Scala), SQL, and Python.
- Experience building and operating ETL/ELT pipelines on cloud platforms (AWS EMR/S3, Databricks, or equivalent); workflow orchestration (Airflow or similar).
- Comfortable owning pipeline operations end-to-end: reading dependency graphs, diagnosing failures, working with on-call /PagerDuty/Splunk, and driving fixes with multiple teams.
- Working knowledge of data warehousing/data mart design, data governance, and PII handling practices.
- AI-native mindset: familiarity with LLM capabilities, evaluation frameworks, and the creative application of AI principles to engineering challenges.
- Proficiency with GenAI productivity tools (e.g., Claude, Cursor, Codex) to enhance engineering workflows.
- Strong communicator; comfortable directing an offshore IDC team with minimal handholding.
Equal Opportunity Employer:
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law
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