Role Overview:
The Data Engineering Lead is a pivotal hybrid role within the Data Engineering team, combining hands-on development with leadership responsibilities. This individual will lead a squad of Data Engineers to deliver high-quality, high-velocity customer data pipelines while maintaining existing ones.
• Collaborate with the Implementation team and Data Analyst to review and own DE requirement writeups, ensuring they fully address data needs discussed in implementation calls
• Communicate timelines for deliverables to unblock Data Engineers for ETL pipeline development
• Proactively flag risks to timelines or quality to stakeholders and project managers
• Lead backlog grooming for implementation-related tickets
• Ensure team cross-coverage: both the DE Lead and assigned Data Engineer should understand the full ETL flow, with at least two additional engineers familiar at a high level
• Conduct thorough peer reviews and DE UATs after initial UAT completion
• Work with QA and CSA teams to resolve post-UAT issues and update the DE UAT checklist
• Provide technical guidance, mentorship to junior engineers, and promote best practices and coding standards
• Identify and escalate inefficiencies within and across teams
• Support project management and provide leadership to peers as needed
• Author and support high-quality technical documentation, assisting junior engineers in doing the same
• Collaborate with the DE Manager to report on DE contractor performance issues
Key Requirements:
• Ability to pass a background check
• Must live in and be eligible to work in the United States
What You'll Be Doing:
• Develop and maintain end-to-end data pipelines, ensuring high quality and velocity
• Collaborate with cross-functional teams to review and own DE requirement writeups
• Communicate timelines for deliverables to unblock Data Engineers
• Proactively flag risks to timelines or quality to stakeholders and project managers
• Lead backlog grooming for implementation-related tickets
• Ensure team cross-coverage: both the DE Lead and assigned Data Engineer should understand the full ETL flow, with at least two additional engineers familiar at a high level
• Conduct thorough peer reviews and DE UATs after initial UAT completion
• Work with QA and CSA teams to resolve post-UAT issues and update the DE UAT checklist
• Provide technical guidance, mentorship to junior engineers, and promote best practices and coding standards
• Identify and escalate inefficiencies within and across teams
• Support project management and provide leadership to peers as needed
• Author and support high-quality technical documentation, assisting junior engineers in doing the same
• Collaborate with the DE Manager to report on DE contractor performance issues
Who You Are:
• 6+ years of professional experience working with data
• Experience leading a team of up to 5 Engineers
• Experience creating an automated ETL process using Python and SQL
• Experience with data processing, validation, cleaning, and debugging data sets
• Experience with building production grade ETL pipelines
• Demonstrable deep understanding of healthcare /healthcare claims data
• Experience with processing large data sets (over 10 GB)
Remote Work Requirements:
• An established private work area that ensures information privacy
• A stable high-speed internet connection for remote work
• Required to come to on-site meetings multiple times per year
Job Requirements:
• Ability to pass a background check
• Must live in and be eligible to work in the United States
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