Job Description
Design, build, and optimize BigQuery datasets and SQL models Develop and maintain batch and streaming pipelines using Dataflow/Beam Orchestrate workflows in Airflow/Cloud Composer Implement scalable ETL/ELT pipelines with incremental and CDC patterns Tune performance and manage query/storage costs Ensure data quality, schema evolution, and lineage tracking Collaborate with analytics, engineering, and business teams Secure sensitive data using best practices for compliance Monitor pipelines, troubleshoot failures, and improve reliability Contribute to code reviews, documentation, and platform standards 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/. Required Skills & Experience 5+ years of data engineering experience, including 2+ years on Google Cloud Platform Expert BigQuery skills Advanced SQL (CTEs, window functions, complex joins) Partitioning, clustering, and query/cost optimization Materialized & authori