Data Engineer II - Analytics

Data Engineer II

Analytics Essential Functions:

• 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.

Success in this role:

• Deliver reliable, scalable, high performing customer facing analytic services.
• Consistently deliver committed business initiatives and coordinates with other stakeholders to roll out products with analytic insights.
• Take ownership of the team's infrastructure and data pipeline to ensure SLAs are met.
• Business teams and customers are empowered with AI assisted insights without dependency on engineering.
• Consistently deliver high quality code that is easily maintained and scaled. Your work is dependable, consistently requiring reduced oversight from management.
• Contribute to the team culture where innovation, autonomy, and accountability thrive.

Minimum Requirements:

Specific Job Skills:

• Ability to approach complex, ambiguous data challenges systematically. You can diagnose the problem, come up with a plan to address it, and see that plan through.
• 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.

Preferred Skills:

• 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.

Education: BS Degree or equivalent work experience

Experience: 2+ years of experience. Must have experience with Python and SQL and a background in either data engineering or data science.

Language Skills: 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.

Physical Capabilities: Standard categories The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.