Sr Full Stack Data Engineer

Job Description 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/. Skills and Requirements 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