Data Engineer (Python)

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.

By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.

At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.

Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: enabling every healthcare decision to be powered by the right data, at the right time, in the right format . We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success. Why join Datavant’s tech team?

You’ll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision You’ll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity. Data Engineer (Python, Spark, Snowflake) The Role As a Data Engineer, you will build and scale health data pipelines that enable data discoverability, linkage, privacy, machine learning, and analytics across the organization. You will work with Python, Spark, and Snowflake to design efficient data models and reliable processing frameworks.

This role provides the opportunity to shape foundational data infrastructure that supports regulatory-grade health decisions at scale.

What You’Ll Do

Design and maintain scalable data pipelines using Python, Spark, and Airflow Ensure pipeline reliability, data quality, and observability Partner with Science and Product to define and prioritize data

Requirements

Implement automated testing and optimize processing performance and cost Design and maintain data validation frameworks aligned with regulatory

What You’ll Bring

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience 2+ years of data engineering or software engineering experience for junior candidates; 5+ years for senior candidates Professional experience building data pipelines in Python Hands on experience with distributed data processing frameworks such as Apache Spark and orchestration with Airflow Experience working with cloud data warehouses such as Snowflake Experience integrating agentic code generation tools such as Claude Code or Codex into day to day