Job Description Insight Global is seeking a motivated and solution‑oriented Data Engineer to join our team in a hybrid capacity. This role is ideal for someone with a solid technical foundation who’s ready to take ownership of data workflows, collaborate across teams, and contribute to the design and optimization of scalable data solutions. You’ll work hands‑on with ETL development, data pipelines, and cataloging efforts, helping ensure that critical information is moved, transformed, and organized efficiently. This position offers the opportunity to grow your technical depth while supporting end‑to‑end data initiatives. Responsibilities Design, develop, and implement ETL processes to support data movement, transformation, and integration. Build, enhance, and maintain reliable data pipelines and data catalogues. Collaborate with cross‑functional partners to deliver complete, end‑to‑end data solutions. Ensure data integrity, performance, and optimization across workflows. Contribute to troubleshooting, process improvements, and best‑practice development within the data engineering function. 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 3–5 years of experience as a Data Engineer or in a similar data‑focused role. Strong hands‑on experience developing ETL processes, including building new ETLs from scratch. Proven ability to design and maintain data pipelines and data catalogues. Experience contributing to end‑to‑end data solution development. General proficiency across modern data engineering tools and languages, including: Python ETL frameworks Snowflake or similar cloud data platforms Containers (e.g., Docker) Familiarity with modern data technologies, orchestration tools, or cloud‑native data services.