Healthcare Data Engineer

Wider Circle

. Build and maintain scalable ETL/ELT pipelines using Python (pandas) and SQL .

Posted 9/25/2026full-timeRemote • United StatesMid-LevelSenior💰 $130,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable ETL/ELT pipelines using Python and SQL, with a strong focus on data quality, integration, and orchestration. Proficient in managing data workflows and collaborating with analytics teams to deliver clean, modeled datasets.

Highest-signal resume keywords

Python ProgrammingSQL OptimizationAWS (S3, IAM, Redshift)Data Ingestion via APIsData Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentData Quality AssurancePerformance TuningSchema ManagementDebugging Data IssuesIdempotent Job ImplementationData Lineage TrackingMetadata ExtractionSQL GenerationAnomaly Explanation

Soft Skills

CollaborationProblem-SolvingDocumentation

Tools & Technologies

GitAirflowSalesforce APIGoogle Sheets APIMatillionMulesoft

Industry Keywords

Healthcare DataPHIPIIData IntegrationData Science Collaboration

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSETLMatillionPandasPythonSQL

About the role

Key responsibilities & impact

Build and maintain scalable ETL/ELT pipelines using Python (pandas) and SQL
Ingest data from Amazon S3, APIs, Salesforce, and internal systems
Write performant SQL in Amazon Redshift, including DDL, DML, and stored procedures
Manage schemas, views, permissions, and table evolution safely
Debug production data issues and performance bottlenecks
Ensure data quality, freshness, lineage, and observability
Document pipelines and datasets clearly
Apply appropriate safeguards for sensitive and regulated data, including PHI and PII
Migrate legacy cron-based workflows to robust orchestration frameworks
Implement idempotent, retry-safe, production-ready jobs
Improve pipeline reliability and monitoring
Use Git for version control and CI-friendly development
Partner with Analytics and Data Science to provide clean, modeled datasets
Support BI tools, reporting workflows, and Google Sheets integrations
Meet internal SLAs for data quality and delivery frequency
Provide expert support for complex data integration challenges
Build lightweight AI-powered utilities such as metadata extraction, SQL generation, and anomaly explanation
Integrate LLM APIs into existing data workflows

Requirements

What you’ll need

3–6 years of experience in data engineering or analytics engineering
Strong Python skills (dataframes, file I/O, APIs)
Strong SQL skills, including warehouse-specific optimization
Hands-on experience with AWS (S3, IAM, Redshift)
Experience using APIs for data ingestion and system integration
Experience with Git and collaborative development workflows
Comfortable working with imperfect data and legacy systems
Preferred: Experience replacing cron with modern orchestration tools (e.g., Airflow or similar)
Preferred: Experience with Salesforce API integrations
Preferred: Familiarity with Google Drive / Google Sheets APIs
Preferred: Exposure to LLM APIs (OpenAI, Anthropic, etc.)
Preferred: Experience working with healthcare data (claims, eligibility, CDAs/HRAs)
Preferred: Experience partnering with Data Scientists to productionalize models
Preferred: Experience with tools such as Matillion, Mulesoft, or similar

Benefits

Comp & perks

Performance-based incentive bonuses
Opportunity to grow with the company
Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Paid Time Off
Employee Assistance Program
Health Care FSA
Dependent Care FSA
Health Savings Account
Voluntary Disability Benefits
Basic Life and AD&D Insurance
Adoption Assistance Program
Training and Development
Equal employment opportunity and Diversity & Inclusion commitment