Manager, Data Engineering

Capital Blue CrossHarrisburg, PA

About The Position

The Manager, Data Engineering will be responsible for managing the workflow, assignment, and quality review/oversight of the work product for a team of 3-4 data engineers. This position will set information ingestion standards, development processes, and deployment release schedules for the team. In addition, this role will provide technical guidance and best practices for design, modeling, and data presentation/implementation for team members. The Manager Data Engineering will also ensure the team’s skillsets support future success. Capital Blue Cross offers a comprehensive benefits packaging including Medical, Dental & Vision coverage, a Retirement Plan, generous time off including Paid Time Off, Holidays, and Volunteer time off, an Incentive Plan, Tuition Reimbursement, and more. At Capital Blue Cross, we promise to go the extra mile for our team and our community. This promise is at the heart of our culture, and it’s why our employees consistently vote us one of the “Best Places to Work in PA.”

Requirements

  • Ability to manage and lead a technical team.
  • Clear, concise communication skills and ability to distill complex information into business terms.
  • Strong Data Modeling and Design abilities.
  • Capability to manage multiple, complex projects and shifting priorities.
  • Desire to ensure technical knowledge and skillsets are current.
  • Extensive knowledge of Snowflake, WhereScape, Azure toolsets.
  • Knowledge of Healthcare data sets, industry standard data models and transmission formats (HL7, ANSI etc.).
  • Knowledge of Master Data Management, Data Quality, Reference Data and other concepts, principles, and toolsets.
  • 5+ years designing and implementing data architecture (conceptual, logical, physical & dimensional models) experience.
  • 2+ years’ experience with cloud data infrastructure (preferably Azure).

Responsibilities

  • Manage the assignment, workflow, and oversight process to ensure quality, consistency, and timeliness of deliverables from data engineers.
  • Create and maintain standards for data design, modeling, and deployment in Snowflake.
  • Provide direction and training to data engineers regarding foundational applications used in the development lifecycle.
  • Assess new data ingestion patterns to improve efficiency and timeliness of data availability.
  • Define data delivery strategy and monitor data release schedule.
  • Provide guidance to data analyst community on best practices for leveraging and querying new data assets.
  • Interpret business needs from requests, and rapidly implement effective technical solutions that meet long-term objectives of providing consistent data delivery across the enterprise.
  • Create and maintain ETL Source to Target mapping documents, data playbooks, and data flow inventory documents.

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Retirement Plan
  • Paid Time Off
  • Holidays
  • Volunteer time off
  • Incentive Plan
  • Tuition Reimbursement
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