Job Description A Life Science company based in San Diego, CA is seeking a Sr. Clinical Data Engineer to join their team. They will be responsible for the design and implementation of data models for querying, reporting, and ML workflows to help to solve challenges related to multi-model data sources, harmonization, and normalization. They will collaborate with team members to develop and maintain data solutions for clinical stakeholders; they will help to empower scientist, researchers, and management with efficient access to high-quality data insights. 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 - Bachelor's Degree in Computer Science, Engineering, Bioinformatics, or a related field and 4+ years of relevant experience OR Master's Degree in Computer Science, Engineering, Bioinformatics, or a related field and 2+ years of relevant experience - 4+ years of experience in Data Engineering role with proven experience of analytics in conjunction with the development/maintenance of data pipelines - Strong knowledge of ETL Processes for data integrations of relational databases (SQL) and modern data lake platform (Data bricks, Snowflake, Redshift) - Proven experience extracting data from external vendors and building pipelines using Python - Experience developing and maintaining data pipelines that securely ingest and integrate data from external vendor systems into a centralized layer, and final storage (RedShift) - Advanced SQL experience for extraction, transformation, modeling, aggregation, reporting, validation, and automation - Strong programming skills in Python and other modern programming languages - Strong expertise with cloud infrastructure and computing platforms (AWS preferred) - Experience with deployment tools like Jenkins, Github actions, or IaC Terraform Background in Pharma, Clinical, Biosciences and/or Life Sciences Diversity of background in size of company (small/start up to enterprise/fortune 500) Experience with statistical concepts and methods as it related to clinical data – descriptives, probability, hypothesis testing Familiarity with clinical data standards (CDISC, SDTM, ADaM) and GCP regulatory guidelines