ETL - Data Engineer

Responsibilities
Independently prototypes/develop 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 data product solutions.Influences strategic thinking across the team and the broader organization.Maintains proof-of-concepts and prototype data solutions, and manages 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.Ensure 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.

RequirementsExpertise 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.Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred. Masters in same or related disciplines strongly preferred.3+ 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.3+ years experience as developer working in an AWS cloud computing environment.3+ years experience using GIT or Bitbucket.Experience with Redshift, RDS, DynomoDB is preferred.Strong written and oral communication skills are required.Experience in the healthcare industry with healthcare data analytics productsExperience with healthcare vocabulary and data standards (OMOP, FHIR) is a plus