Data Engineer – Life Sciences

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.