Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Atlanta, GA, United States
Posted
19 hours ago
SQLAWSSnowflakeAgileAirflowEHREMRHIPAAPythondbt
Job Description
Senior Tech Lead – Data Engineering
Location: Richmond, VA or Atlanta, GA Type: Contract (W2 / 1099) – through December 2027 Employment: No C2C / No third-party vendors Openings: 2 Interview: Immediate
About the Role a Senior Tech Lead – Data Engineering for a long-term engagement with a leading healthcare client. You will own the technical direction of a data engineering team, design and deliver scalable cloud data platforms, and act as the hands-on escalation point for architecture, performance, and delivery decisions.
Responsibilities
- Lead the design, build, and optimization of data pipelines and data platforms on AWS and Snowflake
- Set technical standards, review code and designs, and mentor a team of data engineers
- Translate business and analytics requirements into robust data architecture and delivery plans
- Own performance tuning, cost optimization, data quality, and reliability of the platform
- Partner with product owners, architects, QA, and project managers across an Agile delivery model
- Drive CI/CD, automation, and engineering best practices across the team
Required Skills
- 10+ years in data engineering with 3+ years in a tech lead or lead engineer capacity
- Deep hands-on expertise with Snowflake, advanced SQL, and Python
- Strong AWS experience (S3, Glue, Lambda, EMR, Step Functions, IAM, or equivalent)
- Experience with orchestration tools (Airflow, dbt, or similar) and CI/CD pipelines
- Proven track record leading teams on enterprise-scale data platforms
- Excellent communication skills with technical and non-technical stakeholders
Nice to Have
- Healthcare / payer / provider data experience (claims, EHR, HL7, FHIR, HIPAA) is a strong plus
- Snowflake Cortex AI, Streamlit, or ML/AI integration experience
Please apply only if your experience closely matches the required skills above.
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