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About the Role

This role supports the design and implementation of data model changes, develops and maintains dashboards and reports using Looker, and contributes to reliable customer-facing analytic services by completing well-scoped tasks with guidance.

Responsibilities

• Support the design and implementation of changes to our data model in collaboration with senior data engineers and the product team.
• Develop, maintain, and update dashboards and reports using our BI tool, Looker, with guidance from the team.
• Actively participate in team meetings, including stand-ups, planning sessions, and retrospectives.
• Submit clear pull requests, respond to code review feedback, and learn team standards for maintainable data engineering work.
• Troubleshoot data-related issues with support from more experienced engineers, helping ensure data integrity and reliability.
• Participate in the team’s on-call rotation and be responsible for monitoring our systems and debug issues with support from the team.
• Contribute to reliable customer-facing analytic services by completing well-scoped tasks with guidance.
• Deliver assigned work on committed business initiatives and communicate progress, risks, and blockers clearly.
• Help maintain data pipelines, dashboards, and related infrastructure so team service expectations are met.
• Support business teams and customers by improving access to accurate analytic insights.
• Produce high-quality code and documentation that follow team standards and require appropriate review from more experienced engineers.
• Contribute positively to a team culture where learning, accountability, and collaboration thrive.

Requirements

• Ability to approach well-defined data challenges systematically, ask clarifying questions, and follow through on assigned work.
• Foundational understanding of data quality concepts, including reliable, timely, and traceable data from source to consumption.
• Foundational experience with SQL databases or data warehouse technologies such as Postgres, BigQuery, Redshift, or similar platforms.
• A fast learner who is excited to build analytic dashboards, learn modern data engineering practices, and contribute to data pipeline improvements.
• Ability to communicate technical issues, progress, and blockers clearly to teammates and stakeholders.
• Coursework, internship, project, or professional exposure to data modeling concepts.
• Exposure to the US healthcare system, health systems, or payers.
• Knowledge of data pipeline concepts and basic data modeling principles.
• Familiarity with analytic semantic layers and business intelligence dashboard tools such as Looker, Power BI, Tableau, or similar tools.
• Familiarity with cloud services such as AWS, Azure, or GCP.
• Familiarity with git and command-line tools.
• Exposure to ETL or ELT pipelines for analytics.
• Interest in leveraging AI agents and other AI tools to enhance developer productivity.
• 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.

Skills

• Python
• SQL
• Looker
• Power BI
• Tableau
• AWS
• Azure
• GCP
• git
• command-line tools
• ETL
• ELT

Experience Level

• 0–2 years of experience

Education Level

• BS Degree or equivalent work experience

About the Company

• RevSpring is an equal opportunity employer.

Equal Opportunity

• All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
• RevSpring does not discriminate against any group in hiring or employment practices.