Manager, Data Integration

Location: Pittsburgh

Job Type: Full Time / Permanent

As Manager of Data Integration, you will play a key role in growth and development of a team of ETL-focused engineers in a fast-paced, agile environment. Partnering closely with our Operations and Engineering teams, you will be responsible for delivering data-driven solutions to complex business problems as well as serve as a trusted advisor to the Data Integration team.

Responsibilities • Provides direct supervision, support and mentoring for Integration Engineers • Work as a part of a cross-functional team (Integration and Data Operations) to build, deliver and maintain high quality ETL pipelines • Own the tactical implementation of new client onboardings in the integration phase • Monitors the successful and timely onboarding of client data to ensure timely deliverables • Primary escalation contact for bugs, onboarding issues, ad hoc functionality needs • Identify and implement enhancements and process improvements to improve overall efficiency of the Integration team • Manage escalations and problem solving solutions regarding critical issues that require immediate attention and remediation

Qualifications • Bachelors degree in Computer Science, Engineering or related quantitative fields and/or equivalent experience • Minimum of 5 years of experience in a Data Engineering, Project Management, or other technical role with supervisory elements • Project management experience using Jira and/or Confluence • Real world expertise in structure of databases, ETL development and data warehousing plus a demonstrated knowledge of many data warehouse and processing technologies such as: • Postgres • AWS: Redshift, RDS, Glue, Lambda, S3, EC2 • ETL: Pentaho Kettle, Talend • Scripting: Python, Shell • Airflow and DAG development • Experience using git/Github/Gitlab for project version control • Demonstrates a mastery of using SQL with large data set • Must have excellent team and project management experience and skills including, but not limited to: • Proven track record of successful communication of data infrastructure, data models and data engineering solutions through written communication including the ability to effectively communicate with both business and technical teams • Shows curiosity and an ability to learn quickly, especially regarding new technology and processes • Approaches all work with a team-based/collaborative orientation • Bonus Points • Healthcare data experience is a huge plus • Senior-level mastery of python • Any software development experience, preferably python or JavaScript • Experience using sqitch for data schema loading

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