Data Engineer

Curana Health

. Build and maintain ETL/ELT pipelines for healthcare datasets, including claims, eligibility, provider, risk adjustment, HEDIS, EHR, and clinical data .

Posted 10/13/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in building and maintaining ETL/ELT pipelines for healthcare datasets, with strong SQL skills and experience in Azure Data Factory and Databricks. Demonstrates knowledge of healthcare data standards such as HL7, FHIR, and X12, while ensuring compliance with HIPAA regulations.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentSQL Query DevelopmentAzure Data FactoryHealthcare Data StandardsData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL DevelopmentSQLData IntegrationData ModelingData TransformationPythonPySparkData WarehousingData GovernanceData Quality Checks

Soft Skills

CommunicationDocumentationOrganizational SkillsCollaborationQuick Learning

Tools & Technologies

Azure Data FactoryDatabricksEMR SystemsCMS FeedsVersion Control

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Information SystemsBachelor’s Degree in Healthcare Informatics

Industry Keywords

Healthcare DataClaims DataEligibility DataProvider FilesEHR DataHL7FHIRX12HIPAA ComplianceData Pipeline

Tech Stack

Tools & technologies

AzureETLPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Build and maintain ETL/ELT pipelines for healthcare datasets, including claims, eligibility, provider, risk adjustment, HEDIS, EHR, and clinical data
Support development of data models and transformations aligned with HL7, FHIR, and X12 healthcare standards
Contribute to data quality checks, validation rules, and documentation for healthcare data assets
Work with analysts and business users to understand data requirements and translate them into technical tasks
Assist with ingestion and integration of new data sources from EMR systems, CMS feeds, and vendor partners
Develop SQL queries, transformations, functions, and stored procedures for reporting and analytics workflows
Support Azure Data Factory, Databricks, Python/Spark jobs, and version control workflows
Participate in resolving data pipeline failures and data quality errors
Maintain data dictionaries, mapping files, and data governance documentation
Collaborate with senior engineers on security, HIPAA compliance, and architecture best practices

Requirements

What you’ll need

Minimum of 2 years of experience in data engineering, ETL development, or data integration
Strong SQL skills and experience working with relational databases
Intermediate experience with Azure Data Factory, Databricks, PySpark, or comparable ETL tools
Familiarity with healthcare data types such as claims, eligibility, provider files, or EHR data
Knowledge of interoperability formats including HL7, X12, and FHIR is a strong plus
Basic Python or Scala programming skills
Understanding of data warehousing concepts and modern data architectures
Ability to learn quickly and work collaboratively with technical and non-technical teams
Strong communication, documentation, and organizational skills
Bachelor’s degree in Computer Science, Information Systems, Healthcare Informatics, or related field, or equivalent experience
Must be able to work in a highly regulated environment and follow HIPAA security and compliance practices
Must not require visa sponsorship; the company is unable to provide sponsorship for a visa at this time (H1B or otherwise)

Benefits

Comp & perks

Equal Employment Opportunity commitment and nondiscrimination policy
No visa sponsorship is available at this time