Data Engineering Lead

The Role:

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. The Data Engineering Lead owns end-to-end delivery including project management, data quality, and timelines and is accountable for both team output and their own individual contributions. This role requires consistently high standards in both coding and execution.

What You'll be Doing:

• 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 by making sure the DE Lead and assigned Data Engineer 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

• Design and maintain data transformation pipelines using dbt, including macros, incremental models, and dbt tests

• Work with QA and CSA teams to resolve post-UAT issues and update the DE UAT checklist

• Provide technical guidance and 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 and What You Bring:

• 6+ years working with data in production environments

• Proven ability to lead a small team (up to 3 engineers)

• Track record of building automated ETL workflows using Python and dbt SQL

• Hands-on proficiency with modern data technologies and comfort leveraging AI coding assistants to accelerate development, improve code quality, and enhance productivity

• Strong skills in data processing, validation, cleaning, and debugging across complex datasets

• Demonstrated success building production-grade dbt pipelines (macros, incremental and Python models, and testing)

• Deep, demonstrable understanding of healthcare and healthcare claims data

• Comfort working with large-scale datasets (10GB+)

• Excellent verbal and written communication skills

Nice to Have:

• Familiarity with AWS services such as S3, DynamoDB, Batch, and Step Functions

• Hands-on knowledge of Snowflake

• Strong data modeling skills for reporting and business intelligence solutions

Remote Work Requirements:

• An established private work area that ensures information privacy
• A stable high-speed internet connection for remote work
• This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be in the interview process, onboarding, and team meetings

Perks:

Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs.

The posted range represents the expected salary for this position and does not include any other potential components of the compensation package (including bonus and equity), benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The salary range for this position is: $150,000-170,000/year.