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.
Company Overview
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.
Responsibilities
Core Data EngineeringBuild and maintain scalable ETL/ELT pipelines using Python (pandas) and SQLIngest data from Amazon S3, APIs, Salesforce, and internal systemsWrite performant SQL in Amazon Redshift (DDL, DML, stored procedures)Manage schemas, views, permissions, and table evolution safelyDebug production data issues and performance bottlenecksEnsure data quality, freshness, lineage, and observabilityDocument pipelines and datasets clearlyEnsure appropriate data safeguards for sensitive and regulated data, including PHI and PII
Orchestration & AutomationMigrate legacy cron-based workflows to more robust orchestration frameworksImplement idempotent, retry-safe, production-ready jobsImprove reliability and monitoring of existing pipelinesUse Git for version control and CI-friendly development practices
Analytics & Modeling SupportPartner with Analytics and Data Science to provide clean, modeled datasetsSupport BI tools, reporting workflows, and Google Sheets integrationsEnsure internal SLAs for data quality and delivery frequency are metProvide expert support for complex data integration challenges
AI / LLM IntegrationBuild lightweight AI-powered utilities (e.g., metadata extraction, SQL generation, anomaly explanation)Integrate LLM APIs into existing data workflowsFocus on practical augmentation that saves analyst and engineer time
What Success Looks LikeData pipelines are reliable, observable, and well-documentedRedshift schemas are clean, performant, and well-managedAnalysts and stakeholders trust the dataAI-powered tools meaningfully reduce engineering or analyst workloadInternal SLAs for data delivery and quality are consistently met
Requirements
3–6 years of experience in data engineering or analytics engineeringStrong Python skills (dataframes, file I/O, APIs)Strong SQL skills, including warehouse-specific optimizationHands-on experience with AWS (S3, IAM, Redshift)Experience using APIs for data ingestion and system integrationExperience with Git and collaborative development workflowsComfortable working with imperfect data and legacy systems
Preferred Qualifications
Experience replacing cron with modern orchestration tools (e.g., Airflow or similar)Experience with Salesforce API integrationsFamiliarity with Google Drive / Google Sheets APIsExposure to LLM APIs (OpenAI, Anthropic, etc.)Experience working with healthcare data (claims, eligibility, CDAs/HRAs)Experience partnering with Data Scientists to productionalize modelsExperience with tools such as Matillion, Mulesoft, or similar
Benefits
Compensation
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 bonusesOpportunity to grow with the companyComprehensive health coverage including medical, dental, and vision401(k) PlanPaid Time OffEmployee Assistance ProgramHealth Care FSADependent Care FSAHealth Savings AccountVoluntary Disability BenefitsBasic Life and AD&D InsuranceAdoption Assistance ProgramTraining and Development
And most importantly, an opportunity to make the world a better place!
Wider Circle is proud to be an equal opportunity employer that does not tolerate discrimination or harassment of any kind. Our commitment to Diversity & Inclusion supports our ability to build diverse teams and develop inclusive work environments. We believe in empowering people and valuing their differences. We are committed to equal employment opportunity without consideration of race, color, religion, ethnicity, citizenship, political activity or affiliation, marital status, age, national origin, ancestry, disability, veteran status, sexual orientation, gender identity, gender expression, sex or gender, or any other basis protected by law.