Senior Healthcare Data Engineer – AWS & Python

Senior Healthcare Data Engineer – AWS & Python

Unleash the power of healthcare data — innovate with AWS and Python to drive impactful analytics and AI solutions!

Location & Work Model:
Poland - Remote, 5 days per week

Intro Paragraph:
As a Senior Healthcare Data Engineer, you will be working for our client, a leader in healthcare analytics and technology. You will design, develop, and optimize large-scale data pipelines, leveraging cloud infrastructure to support AI-driven insights and patient journey analytics. Join a forward-thinking environment committed to transforming healthcare through data innovation and gain a platform for professional growth.

Your main responsibilities:

• Design and build production ETL/ELT pipelines from diverse healthcare data sources into AWS S3 data lakes and warehouses.
• Implement batch workflows with orchestration, error handling, retries, and lineage tracking to ensure reliable data delivery.
• Develop Python-based data processing jobs utilizing modern libraries to merge, transform, and normalize healthcare datasets.
• Optimize AWS data stack components, including S3, Athena, IAM, and Glue, for cost efficiency and performance.
• Manage large healthcare datasets such as claims, patient records, referrals, and clinical information, ensuring data quality and integrity.
• Write and optimize complex SQL queries for analytical and cohort analysis, hospital performance metrics, and patient segmentation.
• Maintain data quality through validation, anomaly detection, schema enforcement, and automated validation pipelines.
• Monitor and enhance pipeline throughput, memory efficiency, and cloud query cost management.

You're ideal for this role if you have:

• At least 6 years of professional experience in data engineering, preferably in healthcare or related industries.
• Strong proficiency in Python (3.12+), with modern data libraries for transformation and processing.
• Hands-on experience with AWS data infrastructure, including S3, Athena, IAM, and Glue.
• Advanced SQL skills, capable of handling large datasets with complex queries, window functions, and cohort analysis.
• Proven ability to develop and optimize production-grade data pipelines processing billions of rows.
• Familiarity with Git workflows, code reviews, and comprehensive documentation practices.
• Experience merging disparate healthcare data sources, managing high data quality, and building analytical datasets.

It is a strong plus if you have:

• Healthcare industry experience (claims, patient journey analysis, ICD/CPT coding, PHI/HIPAA compliance).
• Experience with multi-cloud platforms, especially Azure, for multi-cloud healthcare solutions.
• Knowledge of healthcare provider databases, NPI, and patient journey analytics.
• Skills in advanced data modeling, data cataloging, and metadata management.
• Exposure to AI/LLM data systems, prompt engineering, and structured outputs (JSON/YAML).
• Experience with orchestration tools such as Airflow, Dagster, or Step Functions.
• Familiarity with PostgreSQL, Supabase, and dashboards.

Language Required for the role:
Fluent in English

Eligibility for the role:
Only candidates with an existing legal right to work in the European Union will be considered for this role.

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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.