Principal Data Engineer - Healthcare

As a key member of Technology Group, step into a key role in building and expanding our Data engineering teams. This is a ground-up opportunity to help define, develop and implement strategy to solve some of the hardest problems in healthcare space.

Job Functions:

- Implement, operationalize and scale our cloud-based data lake to meet critical business and customer needs

- Develop and implement frameworks to improve current data acquisition / ingestion and enrichment on all data layers of the SaaS platform.

- Construct, implement, and maintain extract load and transform (ELT) workflows with cloud native technology or open-source technologies (Apache Spark, EMR)

- Partner with Data Science team to define and Implement best practices for data acquisition and transformation of data sets for ML training workflows.

- Serve as one of the lead contact and partner with vendors for data flow and processing

- Management/Troubleshoot of all data pipeline services.

- Work with front-end developers / staff and customers to support reporting needs of business by restructuring data, creating tables/views, or virtual warehouses accessible in the cloud platform.

Qualifications:

- 10+ years of hands on experience with designing and implementing end to end data services from ingestion, transformation and access in a cloud environment

- Hands on experience working with cloud data warehouse / data lake solutions (Snowflake, Redshift, Google BigQuery or equivalent platform.

- Experience in relational database (e.g., PostgreSQL, MySQL, MS SQL Server, Oracle).

- Experience working with semi-structured and unstructured data (JSON, XML, etc)

- Proficiency in data modelling, very good understanding of data management concepts such as 3NF, Dimensional and their specific applications

- Strong software engineering experience and deep familiarity programming languages such as Python, Java, Node.js, or equivalent.

- Deep experience working with at least one public cloud solution AWS, Azure, or GCP.

- Experience working BI platform such as Talend, Informatica, Qlik, Tableau, or equivalent solution.

- Preferred experience working in scrum or agile teams & understanding of CI/CD pipelines.

- Preferred experience acting or working in a BI consultant role, comfortable working with business leadership across corporate verticals to translate business requirements into data architecture.

- Preferred experience with health care data sets

- Undergraduate degree from accredited 4-year institution.