Data Engineering Lead

Summary

Join Arine, a rapidly growing healthcare technology company, as their Data Engineering Lead. This hybrid role blends hands-on development with leadership, overseeing a team of data engineers. You will lead the delivery of high-quality data pipelines, manage projects, ensure data quality, and meet deadlines. The position demands high coding and execution standards. Arine offers a dynamic role with significant growth opportunities and collaboration with experienced professionals. The company is making a proven difference in healthcare, saving lives and improving health outcomes. Arine is experiencing dramatic growth and is backed by leading healthcare investors.

Requirements

• 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
• A demonstrable and deep understanding of healthcare /healthcare claims data
• Experience with processing large data sets (over 10 GB)
• Excellent verbal and written communication skills
• Ability to pass a background check
• Must live in and be eligible to work in the United States
• An established private work area that ensures information privacy
• A stable high-speed internet connection for remote work

Responsibilities

• 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

Preferred Qualifications

• Experience with AWS frameworks (i.e. S3, DynamoDB, Batch, Step Functions)
• Experience with Snowflake
• Skilled in data modeling for reporting and other business intelligence solutions

Benefits

The base salary range for this position is: $150,000-170,000/year