Job Description An insurance company is looking for a Jr. Data Engineer to join the Modeling Optimization team within the Actuarial Transformation team. This person needs to be eager to learn and grow within this role. This position requires investigating, researching, and reporting findings to the lead analyst on the team. There will be hands on development within Python and interfacing with technical and business team members. This position will provide opportunities to explore different technologies and learn different parts of the business, asking questions and leaning into the mentor's knowledge is encouraged! 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 1+ years of experience as a Data Engineer Experience with Python Experience analyzing systems, data, and processes for improvements Ability to gather requirements, investigate & research Dataiku experience Databricks