Job Description Insight Global is seeking a Data Engineer to join our client’s data team and support ongoing efforts to build scalable, reliable data pipelines and solutions. The ideal candidate will be responsible for designing and implementing ETL processes, integrating data from various sources, and supporting the development of data warehousing and analytics infrastructure. 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 • 5+ years Python development, with strong ETL/data pipeline experience. • Hands-on with Apache Airflow (DAG authoring, scheduling, troubleshooting). • Proficient with Docker and container orchestration (OpenShift / Kubernetes). • Experience with SQL Server, PostgreSQL, and S3 data sources. • Experience building and optimizing data pipelines with PySpark. • Familiarity with CI/CD (GitHub Actions or similar). • Strong Linux and shell scripting skills. • Excellent communication and documentation abilities. • Exposure to Snowflake and/or Databricks (optional).