Data Engineering Manager

Community Care Physicians•Town of Colonie, NY

16h•$97,000 - $130,000•Remote

About The Position

We are looking for a Data Engineering Manager to join our Technologies team! The Data Engineering Manager is responsible for the direct supervision of the Data Engineering team. As a hands-on leader of the Data Team, the Data Engineering Manager is responsible for the overall design, development, and maintenance of data pipelines, data models, and associated tools. This is a full-time remote position, Monday-Friday.

Requirements

Bachelor’s degree or equivalent experience required.
Minimum one (1) year of leadership or management experience required.
Minimum three (3) years of experience in data architecture, data engineering, or analytics engineering required.
Experience writing and producing analytical SQL required.
Experience writing and producing analytical Python and/or R required.
Experience working with Git and the command line required.
Experience in data modeling, data integration, and ETL/ELT development required.

Nice To Haves

Experience with modern data ingestion, orchestration, and transformation technologies such as dbt and AirFlow as well as traditional integration/management tools such as SSIS and Informatica preferred.
Experience with Agile and DevOps/DataOps preferred.
Experience working with diverse clinical health care systems including, but not limited to Electronic Healthcare Record (EHR) systems, Practice Management (PM) systems, imaging systems, pharmacy systems, HIE data, and Population Health Management systems preferred.
Experience working with medical or pharmaceutical health claims or other health plan data preferred.

Responsibilities

Lead, manage, and mature a team of data engineers.
Partner with leadership to help align talent and resources to support the needs and goals of the company.
Act as a leader and positive role model to all levels of the CCP TASS Data Team.
Collaborate with stakeholders to understand the business context, use cases, and requirements for data products and pipelines.
Plan data engineering strategies and implement process improvements.
Manage data engineering team workload and bandwidth.
Perform root cause analysis (RCA) and problem/incident management with a focus on preventing incidents and analysis to detect significant problems or trends.
Lead the design and implementation of analytical data models and physical database objects.
Lead the development and monitoring of data pipelines and ETL/ELT from beginning to end.
Identify tasks where manual participation can be eliminated and develop an automated solution.
Develop, explore, and implement processes to enhance data quality, accessibility, and governance.
Maintain data documentation and definitions. Apply software engineering best practices to engineering and analytics code (ex: version control, testing, continuous integration, etc.).
Stay abreast of national or innovative trends/tools in healthcare analytics and data services.
Provide a consistently high level of customer service to data product end users.
The employee agrees to comply with CCP’s Corporate Compliance Policy and all laws, rules, regulations and standards of conduct relating to the Corporate Compliance Policy and has a duty and obligation to report any suspected violations of any law, the standards of conduct or Corporate Compliance Policy to his or her immediate Supervisor, the fraud and abuse hotline, the Compliance Officer, Human Resources or the Chief Executive Officer.