Data Engineer

We believe that by equipping researchers with rapid insights and providers with tailored, on‑demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting‑edge bioinformatics to make meaningful impacts in patient care.

Our team thrives in a creative, open, and growth‑oriented environment, guided by our core values:

• Outcomes First:
  Focusing on what matters most and making timely, informed decisions.
• Innovative:
  Embracing creativity and continuous improvement to drive novel solutions.
• Radical Candor:
  Communicating openly and honestly, balancing direct feedback with genuine care.
• Never Satisfied:
  Pursuing excellence and continuous growth beyond the status quo.
• Resilient:
  Adapting and persevering through challenges, turning obstacles into opportunities.

If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you.

We are looking for an experienced data engineer to join our team of top‑notch technologists. You will use various methods to transform raw data into useful data that will accelerate scientific research and discovery.

• Solid SQL and Python skills
• Demonstrable experience in data engineering involving implementation of end‑to‑end data pipelines
• Good communication and willingness to work as a team
• Detail‑oriented with excellent organizational skills
• Hands‑on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure)
• Experience in implementing data pipelines for streaming and/or batch integrations using tools/frameworks like Glue ETL, Lambda, Apache Airflow, AWS Step Functions, etc.
• Experience working with code repositories and continuous integration

• Working experience with writing and optimizing PL/SQL
• Experience in data modeling, warehouse design and fact/dimension implementations
• AWS Developer certifications
• Implementation experience with column‑oriented data technologies (e.g., Redshift, Parquet), No
  
  SQL database technologies (e.g., Dynamo
  
  DB, Mongo
  
  DB)
• Understanding of development and project methodologies

Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non‑merit factor per Federal laws.

We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Human Resources at  The decision on granting reasonable accommodation will be made on a case‑by‑case basis.