Job Description We are seeking a Senior Data Engineer to join the data engineering team, supporting a high-visibility marketing analytics initiative focused on media spend effectiveness, channel performance, and marketing ROI. This role will be responsible for designing, building, and maintaining scalable data pipelines that power advanced analytics and machine learning models used by Marketing, Digital, and Product teams. The ideal candidate is a hands-on engineer who can independently drive work from requirements gathering through production delivery while effectively partnering with both technical and business stakeholders. This will be 100% remote in the US and will be a 6 month contract to start. 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.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 7+ years of Data Engineering experience delivering large-scale, mission-critical data solutions. Expert-level SQL and Python development skills, including PySpark/Spark. Strong experience building cloud-native data solutions, preferably within AWS.

Hands-on experience with:

AWS Glue Snowflake DBT Apache Airflow AWS data services and modern data architectures Experience designing and supporting end-to-end ETL/ELT pipelines in production environments. Strong stakeholder management and communication skills with the ability to work directly with business partners. Proven ability to work independently with minimal oversight while maintaining a high level of ownership and accountability.