Senior Data Engineer

Accorded

. Build, maintain, and optimize healthcare data integrations and transformation pipelines .

Posted 9/19/2026full-timeRemote • United StatesSenior💰 $140,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in healthcare data integration and transformation, with strong proficiency in SQL and Python. Capable of designing and maintaining complex data models while ensuring high data integrity and quality standards.

Highest-signal resume keywords

Healthcare Data ExpertiseSQL ProficiencyPython ProficiencyData Modeling ExperienceCloud Data Warehouse Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationData TransformationData WarehousingETL ProcessesAutomated Data TestingData Monitoring FrameworksAI Tools for DevelopmentCode Quality StandardsTechnical TroubleshootingCode Reviews

Soft Skills

Customer InterfaceProblem SolvingCollaborationAdaptabilityAutonomy

Tools & Technologies

BigQuerySnowflakeRedshiftDbtGreat ExpectationsMonte Carlo

Industry Keywords

MedicareMedicaidCommercial DataClaims DataEligibility DataEnrollment Data

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudETLPythonSQL

About the role

Key responsibilities & impact

Build, maintain, and optimize healthcare data integrations and transformation pipelines
Incorporate robust testing to ensure high data integrity
Design, implement, and maintain complex domain and business logic models for Accorded’s Acumen product
Work with Actuarial and Product teams
Interface directly with customers to deliver data integrations
Provide technical troubleshooting and resolve pipeline issues
Participate in code reviews
Maintain rigorous code quality standards
Leverage modern tools, including AI-assisted development, effectively and responsibly
Drive architectural decisions

Requirements

What you’ll need

5+ years of engineering experience working directly with data products
Hands-on experience with Medicare, Medicaid, or Commercial data (payor or provider side)
Expertise in healthcare data, preferably claims and eligibility / enrollment data
Strong proficiency in SQL and Python
Extensive experience in data modeling, data warehousing, and ETL processes
Production experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift
Experience working directly with an analytics product and operating or supporting an analytics delivery team
Demonstrated ability to use AI tools for development effectively and responsibly
Professional experience with dbt (preferred)
Hands-on experience implementing automated data testing and monitoring frameworks such as Great Expectations, Monte Carlo, or dbt tests (preferred)
Track record of operating in fast-paced, ambiguous environments with high autonomy and direct product ownership (preferred)
Demonstrated ability to interface directly with external clients/partners for technical integration scoping, data onboarding, and hands-on troubleshooting (preferred)
Remote candidates must live in and be authorized to work in the United States