Dataspring

Dataspring

Data Engineer

Remote (United States) · Full-time

Sponsorship not specifiedDetected 2 days ago
GitSQLDatabricksAzureCI/CDDevOpsMachine LearningData EngineeringConfluenceCommunicationCollaboration

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Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • The Data Engineer is a full-time, remote, exempt position and reports to the Sr.
  • Director, Data Engineering & Architecture.
  • Assist in maintaining data logic, including reconciliation between source and target data sources and resolution of duplication and data discrepancies.

Responsibilities

  • The Data Engineer will support the design, development, and maintenance of data pipelines and data models that power DataSpring's analytics and data platforms.
  • This role focuses on implementing scalable data solutions, ensuring data quality, and collaborating with senior engineers and stakeholders to deliver reliable data for reporting and analysis.
  • Data Quality, Governance & Reliability Support identification and resolution of systemic data quality issues, including null handling, soft deletes, authorization flags, and incorrect organizational mappings.
  • Support implementation of rules for data in collaboration with product, governance, and engineering stakeholders.
  • Cross‑Functional & Vendor Collaboration Support collaboration with vendors and partners for vendors providing detailed queries, validation logic, and corrective guidance on upstream data issues.
  • Collaborate with product owners and engineering teams to ensure data models align with product defined use cases.
  • Support UAT and release readiness by preparing data, validating counts, and resolving last‑mile data defects under tight timelines.
  • Position Summary The Data Engineer will support the design, development, and maintenance of data pipelines and data models that power DataSpring's analytics and data platforms.
  • Ability to support troubleshooting of messy, evolving enterprise data domains.

Requirements

  • This position provides an opportunity to build hands-on experience with Databricks, Azure SQL, and modern data engineering practices while contributing to enterprise data initiatives and discussions.
  • Familiarity with Databricks, Delta Lake, and Azure SQL.
  • Experience 1-3 years of experience in a data engineering or analytics engineering role, including internships or academic projects.
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.

Nice to have

  • Azure Data Engineer Associate or related certification (preferred).
  • Coursework or certification in AI/ML (preferred but not required).

Skills

  • Skills Strong foundational SQL skills (complex joins, reconciliation, performance tuning).
  • Experience using Git, DevOps tools, and CI/CD pipelines for data engineering workflows.
  • Demonstrated success contributing to data modernization or migration initiatives in cloud environments.

Benefits

  • At DataSpring, you will do meaningful work at the intersection of healthcare, data, and technology, helping solve complex problems that make the healthcare system work better.
  • Prior experience working with healthcare or other regulated data environments is highly desirable.

Company info

  • DataSpring is the trusted data connector at the core of healthcare.
  • For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans.
  • By improving how essential information flows across the system, DataSpring helps healthcare operate more efficiently, accurately, and with greater confidence.
  • We are committed to investing in our people and supporting professional growth over time.

Equal opportunity

  • Employer DataSpring is proud to be an equal opportunity employer and is committed to fostering a workplace where all individuals are valued, respected, and empowered.
  • Employment decisions at DataSpring are made without regard to race, color, religion, sex, national origin or ancestry, age, marital status, disability, protected veteran status, personal appearance, sexual orientation, gender identity or expression, familial status, family responsibilities, matriculation, political affiliation, genetic information, source of income, place of residence, or any other characteristic protected by law.
  • DataSpring does not tolerate unlawful discrimination or harassment of any kind.
  • Applicants have rights under the Family and Medical Leave Act (FMLA), Equal Employment Opportunity (EEO), and the Employee Polygraph Protection Act (EPPA).
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This listing is sourced directly from Dataspring's careers page and normalized into a canonical job model.