The Manager, Data Engineering is responsible for Contexture data engineering, development, implementation and maintenance for related activities of the organization.
Provide technical direction and administrative support for the daily developmental, implementation and maintenance activities of the Data Engineering team.
Coordinate and implement data ingestion, storage, transformation, curation, consumption, and automation activities to support the data management strategy for both internal and external customers.
Serve as a technical expert for internal and external stakeholders as it relates to enterprise data management solutions offered by Contexture.
Provides daily supervision and management of assigned staff, maintain allocated staffing levels including leading recruitment efforts and creating onboarding plans for new or transferred employees.
Provides mentoring, coaching, and educational activities to support employee development that aligns with organizational goals and objectives.
Ensure high level of data availability implementing and improving processes that ensure the stability and performance of our data products.
Collaborate with senior leadership to define and execute the data engineering roadmap aligned with organizational goals.
Ensures proactive communications with clients are conducted periodically regarding progress during implementation period and aids as needed.

Minimum of 5+ years of experience in the development, maintenance, and support of data related positions
Experience in leading and managing cross functional technical and user-based teams, preferred.
Bachelor’s Degree, or commensurate directly related work experience, is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc.
Minimum 2+ years prior management experience required.
Prior hands-on experience as a technologist working with enterprise data management solutions, including data warehousing, cloud technology, relational databases and dashboarding tools, including SQL Server, Snowflake, Tableau, etc.
Extensive knowledge and application of both Python and SQL development in a production environment with terabyte-sized datasets that are both structured and unstructured.
Working knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc.
Working knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc.
Strong analysis and design skills.
Ability to anticipate problems and take decisive action, giving regard to impact on all stakeholders.

Manager, Data Engineering

Key skills