Data Engineering Tech Lead

Senior Manager Human Resources & IT Systems Support Engineer

Our client, a top healthcare company, seeks a Tech Lead (Data Engineering) to design, build, and optimize scalable data architectures and processes that enable efficient data utilization and data‑driven decision‑making. The ideal candidate combines deep technical expertise with strong leadership skills to deliver best‑in‑class data engineering solutions, drive process improvements, and mentor junior team members in a high‑performing environment. This is a contractual position through the end of 2026.

The client prefers that the candidate be nearby the Greater San Francisco area but will consider all profiles from Pacific and Mountain time zones.

• Oversee the design and implementation of robust, scalable, and high‑performance data systems that align with organizational goals.
• Collaborate with cross‑functional stakeholders to understand data requirements and translate them into effective architecture and engineering solutions.
• Develop and manage software processes that enable seamless data movement across data warehouses, data lakes, and internal systems.
• Design and optimize ETL pipelines to prepare high‑quality, reliable data for various stakeholders.
• Build and maintain data ingestion frameworks, data quality controls, and integrated audit systems.
• Implement and uphold data governance practices to ensure data accuracy, integrity, and security.
• Perform data analysis and communicate findings and actionable insights to business and technical teams.
• Serve as a technical authority on data engineering best practices, staying current with emerging tools and methodologies.
• Provide mentorship and leadership to junior Data Engineers, fostering knowledge sharing and skill development.
• Drive continuous improvement in data engineering processes, standards, and team capabilities.
• Support collaboration across technical and business units to promote a data‑driven culture.

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
• 5+ years of hands‑on experience in data engineering with a proven track record of designing and implementing scalable, high‑performance data systems.
• Proficiency in DBT, Python, PySpark, Redshift, Snowflake, and Talend for ETL and data pipeline development.
• Strong understanding of data warehousing concepts and cloud‑based data platforms (AWS).
• Expertise in ETL design, data modeling, and database management.
• Strong problem‑solving, analytical, and critical‑thinking abilities.
• Demonstrated experience leading small technical teams and mentoring engineers.
• Excellent communication and collaboration skills, with the ability to work across business and technical functions.

• Experience working in healthcare data ecosystems or regulated industries.
• AWS Data Analytics or Solutions Architect certification.
• Knowledge of Dev Ops and CI/CD practices for data engineering.
• Familiarity with data governance frameworks and compliance standards (HIPAA, PHI).

Mid‑Senior Level

Contract

Information Technology

Location:

Greater San Francisco, CA (Pacific and Mountain time zones)