Databricks Data Engineer – Life Sciences, AI/ML & GenAI

Location

Across United States

Salary

Not specified

Company

Akash pawar

Job description

### Role & Company / Project Overview Kasmo Global is seeking an experienced Databricks Data Engineer specializing in Life Sciences, AI/ML, and GenAI. This is a remote, contract-based opportunity (C2C / W2 / Corp-to-Corp) supporting customers across Life Sciences, Pharmaceutical, Biotechnology, and Clinical Research domains. ### Key Responsibilities & Daily Duties • Design, develop, and maintain robust ETL/ELT data pipelines using Databricks and cloud technologies. • Implement and manage data solutions utilizing Unity Catalog, Apache Spark, Delta Lake, PySpark, Python, and SQL. • Support AI/ML and GenAI workflows, integrating MLflow, MLOps, LLMs, and RAG architectures. • Collaborate with cross-functional teams to deliver data engineering solutions for Life Sciences, Pharmaceutical, Biotechnology, or Clinical Research projects. ### Required Qualifications, Skills & Experience • 5+ years of Data Engineering experience with hands-on Databricks expertise. • Strong programming and querying skills in PySpark, Python, SQL, Apache Spark, and Delta Lake. • Proven experience building ETL/ELT pipelines and working with Unity Catalog. • Cloud platform expertise across AWS, Azure, or GCP. • Experience supporting Life Sciences, Pharmaceutical, Biotechnology, or Clinical Research clients. • Working knowledge of AI/ML, MLflow, MLOps, GenAI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). • Databricks Certified Data Engineer Associate or Professional certification is preferred. ### Working Hours, Shifts & Location Details • Location: Remote • Work Mode: Remote • Employment Type: Contract / Corp-to-Corp / C2C / W2 ### Compensation & Benefits • Contract engagement as per industry standards. ### Application Instructions • Interested candidates should share their updated resume with the recruitment team.