Digital Infuzion-posted 15 days ago
Full-time • Mid Level
Rockville, MD
101-250 employees

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. Position Overview 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. To succeed in this data engineering position, you should have strong analytical skills and the ability to work with data from different sources. Data engineer skills also include familiarity with several programming languages including SQL and Python and knowledge of working in the Cloud with various cloud-based technologies.

  • 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), NoSQL database technologies (e.g., DynamoDB, MongoDB)
  • Understanding of development and project methodologies
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