As a Senior Healthcare Data Engineer – AI & Analytics, you will be working for our client, a pioneering leader in healthcare technology solutions. You will contribute to transforming large-scale healthcare claims and patient data into innovative insights, powering AI-driven workflows and improving patient outcomes. This role offers an exciting pathway to innovate at the intersection of data engineering and healthcare transformation.
Unleash the Potential of Healthcare Data — Drive Innovation in AI & Analytics!
Poland or Portugal-based opportunity with fully remote work model (up to 5 days/week).
Only candidates with an existing legal right to work in Europe will be considered for this role.
Salary on B2B: 5 250 - 10 500 USD
1200 - 1 600 PLN netto on B2B per day
responsibilities :
Design and build robust ETL/ELT data pipelines from multiple healthcare data sources into cloud data lakes and warehouses.
Implement orchestration, error handling, retries, and lineage tracking for reliable data processing.
Develop Python-based processing jobs using modern libraries to merge and transform healthcare datasets.
Integrate and normalize healthcare-specific data such as claims, patient journeys, provider information (NPI), and clinical codes.
Write and optimize complex SQL queries for large healthcare datasets, calculating metrics like patient lifetime value, cohort segmentation, and treatment outcomes.
Ensure data quality through validation checks, anomaly detection, and automated validation pipelines.
Profile, optimize, and monitor data systems for performance, throughput, and cost-efficiency.
Collaborate effectively using Git, modern Python tooling, and comprehensive documentation practices.
requirements-expected :
5+ years of professional experience in data engineering or a similar field.
Solid Python (3.12+) experience, especially with modern data libraries and asynchronous programming.
Strong SQL skills for large datasets, including experience with CTEs, window functions, and complex joins.
Hands-on experience with building production ETL/ELT pipelines processing large volumes of healthcare data.
Familiarity with cloud platforms, preferably Azure or AWS.
Experience working with healthcare data (claims, patient journeys, ICD/CPT codes) and healthcare-specific concepts.
Ability to work with large-scale datasets, optimizing for performance and cost.
Proficiency in collaborative development practices using Git.
offered :
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
benefits :
sharing the costs of sports activities
private medical care
flexible working time
fruits
integration events
corporate gym
saving & investment scheme
no dress code
coffee / tea
drinks
christmas gifts
birthday celebration
sharing the costs of a streaming platform subscription
