Advarra · 14 hours ago
Sr. Data Engineer II
United States of America, United States
Full-time
Hybrid
Senior Level, Lead/Staff
$140K/yr - $175K/yr
8+ years expAdvarra is a market leader in clinical research and innovative technology solutions. The Sr. Data Engineer II will design, build, and optimize advanced data solutions to support enterprise-wide analytics and AI/ML, serving as a technical expert in modern data architectures.
Pharmaceutical
Responsibilities
Design & Build Data Systems: Architect and implement scalable data pipelines, lakehouse/lake/warehouse environments, APIs, and orchestration workflows to support analytics, AI/ML, and business intelligence
Enable AI & ML at Scale: Partner with Data Science and AI teams to productionize ML models, automate workflows, and enable AI orchestration frameworks (e.g., MLflow, Airflow, Databricks workflows)
Technical Leadership: Act as a hands-on subject matter expert in Databricks, Python, Spark, and related technologies—driving adoption of best practices and mentoring other engineers
Optimize Performance: Ensure data pipelines and platforms are highly available, observable, and performant at scale through monitoring, automation, and continuous improvement
Ensure Compliance & Security: Build solutions that adhere to data governance, privacy, and regulatory frameworks (HIPAA, SOC 2, GCP, GDPR) within clinical research, life sciences, and healthcare contexts
Collaborate Across Functions: Work closely with platform engineering, analytics, product management, and compliance teams to deliver aligned solutions that meet enterprise needs
Advance Modern Architectures: Contribute to evolving data platform strategies, including event-driven architectures, data mesh concepts, and lakehouse adoption
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience
8+ years of data engineering experience in designing, implementing, and optimizing large-scale data systems
Strong proficiency in Python, with production-level experience in building reusable, scalable data pipelines
Hands-on expertise with Databricks (Delta Lake, Spark, MLflow), and modern orchestration frameworks (Airflow, Prefect, Dagster, etc.)
Proven track record of deploying and supporting AI/ML pipelines in production environments
Experience with cloud platforms (AWS, Azure, or GCP) for building secure and scalable data solutions
Familiarity with regulatory compliance and data governance standards in healthcare or life sciences
Preferred
Experience with event-driven systems (Kafka, Kinesis) and real-time data architectures
Strong background in data modeling, lakehouse/lake/warehouse design, and query optimization
Exposure to AI orchestration platforms and generative AI use cases
Contributions to open-source projects or published work in data engineering/ML
Agile development experience, including CI/CD, automated testing, and DevOps practices
Benefits
Variable bonus
Health coverage
Paid holidays
Other benefits
Company
Advarra
Advarra leverages exceptional client service, innovative technology, enhanced regulatory expertise and global research compliance services.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2022-06-10Acquired
Leadership Team
Gadi Saarony
Chief Executive Officer
Brian Hart
Chief Technology Officer
Recent News
Business Wire
2025-12-11
Precedence Research
2025-11-20
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