Data Engineer - SQL/Python

Job description

Major Skillset : SQL, PYTHON, PYSPARK, AWS


  • Independently prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers.
  • Designs proof-of-concept solutions utilizing an advanced understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met.
  • Designs and develops data solutions that enables effective self-service data consumption and can describe their value to the customer.
  • Collaborates with stakeholders in defining metrics that are impactful to the business.
  • Prioritize efforts based on customer value.
  • Has an in-depth understanding of Agile techniques.
  • Can set expectations for deliverables of high complexity.
  • Can assist in the creation of roadmaps for data solutions.
  • Can turn vague ideas or problems into a data product solution.
  • Influences strategic thinking across the team and the broader organization.
  • Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT.
  • Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support.
  • Ensures data solutions include deliverables required to achieve high quality data.
  • Displays a strong understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work.
  • Has an in-depth understanding of Business Intelligence tools, including visualization and user experience techniques.
  • Can set expectations for deliverables of high complexity.
  • Works with IT to help scale prototypes.
  • Demonstrates a comprehensive understanding of new technologies as needed to progress initiatives.


  • Expertise in Python programming, with demonstrated real-world experience building out data tools in a Python environment.
  • Expertise in AWS Services , with demonstrated real-world experience building out data tools in a Python environment.
  • Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred.

Masters in same or related disciplines strongly preferred.

  • 4+ years' experience in coding for data management, data warehousing, or other data environments, including, but not limited to, Python and Spark.
  • Experience with SAS is preferred.
  • 4+ years' experience as developer working in an AWS cloud computing environment.
  • 4+ years' experience using GIT or Bitbucket.
  • Experience with Redshift, RDS, DynamoDB is preferred.
  • Strong written and oral communication skills required.
  • Experience in healthcare industry with healthcare data analytics products
  • Experience with healthcare vocabulary and data standards (OMOP, FHIR) is a plus


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