Data Engineer II - Analytics

RevSpring • Boston, MA

4d

About The Position

The Data Engineer II - Analytics role focuses on designing and implementing changes to the data model, developing and maintaining dashboards and reports using Looker, and actively participating in team meetings. The role involves reviewing peer pull requests, debugging data-related issues, and participating in an on-call rotation. Success in this role is defined by delivering reliable, scalable, and high-performing customer-facing analytic services, consistently delivering business initiatives with analytic insights, taking ownership of infrastructure and data pipelines to meet SLAs, empowering business teams with AI-assisted insights, delivering high-quality, maintainable, and scalable code, and contributing to a team culture of innovation, autonomy, and accountability.

Requirements

• Ability to approach complex, ambiguous data challenges systematically.
• Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption.
• Familiarity with creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc.
• Experience working with database and data warehouse technologies such as Postgres, Bigquery, and Redshift.
• Experience with cloud services such as AWS, Azure, GCP.
• A fast learner who is excited to build analytic dashboards and modernize our data pipeline.
• Experience with git and other command-line tools.
• Clearly articulate complex technical issues to both technical and non-technical stakeholders.
• BS Degree or equivalent work experience
• 2+ years of experience.
• Must have experience with Python and SQL and a background in either data engineering or data science.
• Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations.
• Ability to write reports, business correspondence and procedure manuals.
• Ability to effectively present information and respond to questions from a variety of both internal and external sources.

Nice To Haves

• Experience in working with large slow changing dimension data models.
• Experience in the US healthcare system, in particular with health systems or payers.
• Knowledge of data pipeline concepts and data modeling.
• Experience with ETL pipelines for analytics.
• Proficiency in leveraging AI agents and other AI tools to significantly enhance developer productivity.

Responsibilities

• Design and implement changes to our data model in collaboration with our product team.
• Develop and maintain dashboards and reports using our BI tool, Looker.
• Actively participate in team meetings, including stand-ups and planning sessions.
• Review and provide constructive feedback on peer pull requests (PRs) to maintain code quality and standards.
• Debug and troubleshoot complex data-related issues, ensuring data integrity and reliability.
• Participate in the team’s scheduled on-call rotation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree