Job Title: Data Engineer Life Sciences Company: Kasmo Lifescience
Location: Remote
Experience: 5+ Years
Domain: Life Sciences / Pharmaceutical / Biotechnology
Certification: Databricks Certified Data Engineer Associate or Professional preferred
Company : Kasmo Internal
Rate : 60 to 80 on w2
Visa : OPT , H1 transfers, USC , GC and h4 Ead
Job Overview Kasmo Lifescience is seeking a skilled Databricks Data Engineer with hands-on experience in data engineering, AI/ML, and Generative AI. The ideal candidate must have experience supporting Life Sciences or Pharmaceutical customers and building scalable, secure, production-ready data pipelines.
Key Responsibilities- Develop and optimize ETL/ELT pipelines using Databricks, PySpark, Python, SQL, and Delta Lake.
- Implement data integration, transformation, quality checks, and governance using Unity Catalog.
- Process and manage life sciences data, including clinical trials, pharmaceutical research, laboratory, or drug safety data.
- Support ML model integration, MLflow, and MLOps workflows.
- Develop GenAI solutions using LLMs, RAG, embeddings, and vector search.
- Integrate data solutions with Azure, AWS, or GCP.
- Ensure data security, traceability, and applicable healthcare and life sciences compliance requirements.
Required Skills- 5+ years of Data Engineering experience with hands-on Databricks expertise.
- Strong PySpark, Python, SQL, Apache Spark, and Delta Lake skills.
- Experience with ETL/ELT pipelines, Unity Catalog, and cloud platforms.
- Prior experience with Life Sciences, Pharmaceutical, Biotechnology, or Clinical Research customers.
- Working knowledge of AI/ML, MLflow, MLOps, GenAI, LLMs, and RAG.
- Databricks Data Engineer certification preferred.
Good to Have- Experience with clinical trials, LIMS, EDC, CTMS, CDISC, or pharmacovigilance data.
- Knowledge of LangChain, Azure OpenAI, Mosaic AI, and vector databases.
- Familiarity with HIPAA, GxP, GCP, or 21 CFR Part 11, where applicable.