Data Integration Engineer

Job not on LinkedIn

🕒 June 26

🇺🇸 United States – Remote

💵 $160k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 41%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ursa Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Ursa Health is a healthcare analytics company that provides Ursa Studio, a no-code analytics development platform combined with healthcare-specific data models, managed services, and consulting to help providers, payers, and other risk-bearing organizations integrate, model, and operationalize healthcare data. The company focuses on data ingestion, ELT/interoperability, master data management, and analytics development to support population health, value-based care, vendor management, and clinical/financial/operational reporting. Ursa Health works with primary care providers, specialty care organizations, health plans, employers, and ACOs to accelerate data-driven innovation and deliver trusted analytics at scale.

📋 Description

• Lead the integration of complex healthcare data packages including medical claims, pharmacy claims, revenue cycle billing, ADT, clinical/EMR, FHIR and value-based care financial datasets into custom or Ursa Studio standard data models through collaboration with client and Ursa Health teams. • Design and operationalize rigorous validation checks that preserve data integrity, prevent analytics degradation, and maintain client trust. • Communicate with clients to understand their data, its limitations, and intended analytical use cases to support them in interpreting the findings that drive their businesses. • Effectively communicate with internal and client teams to gather and understand the information necessary to successfully complete projects, documenting both the process and final deliverables so a non-technical stakeholder can understand the interpretation and business rules. • Collaborate with analytics engineers, customer success, and product teams to align delivery with client expectations and to surface product opportunities informed by client needs and data behavior. • Support client teams to advance their implementation initiatives, including training, measure building, and report interpretation. • Thoughtfully leverage AI-assisted tooling to accelerate and improve delivery, applying domain knowledge and human judgment to ensure sound output. • Keep your knowledge current regarding data security and privacy procedures and policies. • Comply with HIPAA procedures and collaborate with the Incident Response Team as directed.

🎯 Requirements

• Bachelor’s degree • 4+ years of experience working with healthcare financial (e.g., claims, provider billing data), clinical or pharmacy data domains • Familiarity with healthcare data integration concepts, common data sources (payer data files, EMR/EHR systems), data formats (claims, billing, X12 835/837/270, HL7 ADT, FHIR), and medical coding standards (CPT, ICD-10) • 4+ years implementing and maintaining ETL/ELT pipelines and processes. • 4+ years of experience in end-to-end data integration (data discovery, data cleansing and curation, analysis, transformation, validation and maintenance). • High proficiency working with SQL, relational database systems (e.g., Snowflake, Microsoft SQL, Oracle, PostgreSQL) and data modeling. • Excellent written and verbal communication skills.

🏖️ Benefits

• Flexible work arrangements • Remote work options • Inclusive environment

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