Healthcare Data Engineer

Data Engineers serve a unique and critical role in daily operations at Wider Circle. Customer and program data are the bedrock of our business, and Data Engineering is responsible for building and maintaining the systems that power analytics, reporting, and product intelligence.

We are looking for a hands-on, impact-oriented Data Engineer to build and maintain reliable data pipelines, modernize legacy workflows, and support analytics and machine learning use cases. You will primarily work within Amazon Web Services (AWS), supporting Amazon Redshift, Python-based pipelines, and lightweight AI/LLM integrations.

This role requires someone who ships production code, improves system reliability, and partners closely with analytics and data science to ensure data is trustworthy, well-modeled, and actionable. You will join a talented, fully remote Data Science, Engineering & Analytics team that handles customer data processing, automation, product analytics, complex integrations, and data-driven innovation.

Wider Circle exists to create pathways to lasting connection, belonging, and well-being by bringing people together in circles of trust to support one another and strengthen our social fabric. We partner with health plans and community organizations to connect members in small, relationship-driven groups, where they can build trust, support one another, and take meaningful steps forward. By combining peer connection, local facilitators, and data-driven insights, we help members stay engaged in their health while enabling our partners to drive better outcomes at scale.

• 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 (DDL, DML, 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
• Ensure appropriate data safeguards for sensitive and regulated data, including PHI and PII

• Migrate legacy cron-based workflows to more robust orchestration frameworks
• Implement idempotent, retry-safe, production-ready jobs
• Improve reliability and monitoring of existing pipelines
• Use Git for version control and CI-friendly development practices

• Partner with Analytics and Data Science to provide clean, modeled datasets
• Support BI tools, reporting workflows, and Google Sheets integrations
• Ensure internal SLAs for data quality and delivery frequency are met
• Provide expert support for complex data integration challenges

• Build lightweight AI-powered utilities (e.g., metadata extraction, SQL generation, anomaly explanation)
• Integrate LLM APIs into existing data workflows
• Focus on practical augmentation that saves analyst and engineer time

• Data pipelines are reliable, observable, and well-documented

• Redshift schemas are clean, performant, and well-managed

• Analysts and stakeholders trust the data

• AI-powered tools meaningfully reduce engineering or analyst workload

• Internal SLAs for data delivery and quality are consistently met

• 3–6 years of experience in data engineering or analytics engineering

• Strong Python skills (data frames, 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

• Experience replacing cron with modern orchestration tools (e.g., Airflow or similar)
• Experience with Salesforce API integrations
• Familiarity with Google Drive / Google Sheets APIs
• Exposure to LLM APIs (OpenAI, Anthropic, etc.)
• Experience working with healthcare data (claims, eligibility, CDAs/HRAs)
• Experience partnering with Data Scientists to productionalize models
• Experience with tools such as Matillion, Mulesoft, or similar

The expected base salary range for this position is $130,000 – $160,000 per year. Actual compensation will depend on experience, qualifications, and location.

As a venture-backed company, Wider Circle offers competitive compensation including:

• Performance-based incentive bonuses
• Opportunity to grow with the company
• Comprehensive health coverage…