Healthcare Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $130k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 9%

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Wider Circle

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $38M Series B on 2021-09

Healthcare • Consulting • Logistics

Wider Circle is a neighborhood-based health organization that aims to empower community members to lead happier and healthier lives. By partnering with health plans and physician groups, the company offers engaging and educational programs both in-person and virtually. These programs are designed for members who share similar interests and life experiences, creating a social group with the purpose of improving access to care within a trusted community network. Wider Circle connects residents in a neighborhood to support each other's health and well-being, offering help with tasks such as scheduling doctor’s appointments and accessing food resources, thereby revitalizing the sense of community care. The company collaborates with national and regional Medicare Advantage plans and Managed Care Organizations.

📋 Description

• 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

• 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

• 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