Data Engineer I at RevSpring

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Data Modeling, Looker, ETL/ELT, Cloud Services, Git, Data Warehousing, Business Intelligence, Data Pipelines, Troubleshooting, Technical Communication

Industry

Information Technology & Services

Description

Job Title: Data Engineer I Job Summary: Essential Functions: * 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. Minimum Requirements: Specific Job Skills: * 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. Education: BS Degree or equivalent work experience Experience: 0–2 years of experience, including relevant internships, coursework, bootcamps, projects, or professional experience. Must have foundational experience with Python and SQL and an interest in data engineering, analytics engineering, or data science. Supervision: N/A Certifications: N/A 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. Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment. #LI-DNI #LI-DNP

Responsibilities

Support the design and implementation of data models and maintain BI dashboards using Looker. Collaborate with senior engineers to troubleshoot data issues and maintain reliable data pipelines and infrastructure.