Job Description
We are seeking a hands-on Data Engineer to join our Pharma client’s Commercial AI Product organization. They are building new GenAI capabilities to support their Field Reimbursement Managers and this individual will be responsible for ad hoc analysis using PySpark and SQL, performing data quality control (QC) across datasets and pipelines, and participating in code reviews to uphold engineering standards. Familiarity with pharmaceutical or J&J data domains is strongly preferred. This role requires a strong balance of technical execution, analytical thinking, and data governance mindset.
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
Strong hands-on experience with PySpark and SQL, including the ability to perform ad hoc analysis directly against large-scale datasets in a Commercial Life Science environment
Proven experience performing data quality control (QC), including data validation, reconciliation, and issue investigation across multiple data products
Solid understanding of data engineering best practices, including version control, modular code design, and documentation standards
Experience participating in or leading code reviews, with the ability to identify performance, scalability, and data integrity risks
Deep Familiarity with Commercial Pharma Data – Claims, Rx, IQVIA/Symphony Health/Komodo
Nice to Have Skills & Experience
Experience working in highly matrixed enterprise environments
Exposure to cloud-based data platforms (AWS) and distributed data processing architectures
Understanding of data governance, auditability, and compliance considerations in regulated industries
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.