Sr Full Stack Data Engineer

Insight Global is seeking a Senior Data Engineer (Full Stack Data Engineer) for a top media and entertainment client. This individual will join a highly visible data engineering team supporting critical analytics and AI initiatives used at the SVP and President level. The role is heavily hands-on, focused on building and scaling batch ETL pipelines using Databricks, Spark, SQL, and Python. The ideal candidate is technically deep, thrives in complex data environments, and enjoys mentoring junior engineers while working closely with data science teams to enable advanced analytics and machine learning use cases.

Day-to-Day:

Build and maintain batch ETL pipelines in Databricks

Develop new data pipelines (net-new development, not just maintenance)

Write complex, high-performance SQL queries

Perform data modeling to support analytics and data science use cases

Ensure data quality, governance, and observability

Integrate and manage complex datasets from multiple sources (TV, digital, ad sales)

Partner closely with Data Science and AI teams

Mentor and support early-career and junior engineers

Collaborate with stakeholders across multiple time zones

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Senior-level data engineering experience (6-7 YOE)

Strong SQL and data warehousing expertise

Hands-on ETL pipeline design and development

Solid data modeling skills (normalized, denormalized, OBT schemas)

Spark theoretical knowledge (PySpark hands-on is a plus)

Experience working with Databricks

Strong problem-solving and debugging skills

Ability to collaborate across time zones (LA, NY, Bangalore)

Mentorship mindset; comfortable supporting junior engineers Spark performance tuning experience

Snowflake experience

Exposure to AI/ML data pipelines (e.g., LLMs, LangChain, LangGraph)

Streaming technologies (e.g., Apache Flink - future phase)

Media & entertainment industry experience