{"id":1171832,"url":"https://alion.io/job/wider-circle-healthcare-data-engineer","title":"Healthcare Data Engineer","company":{"id":686431,"name":"Wider Circle","domain":"widercircle.com","url":"https://alion.io/company/widercircle","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":78,"open_postings":9,"ghost_share":0,"stale_share":0.889,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-25T05:45:01Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":138000,"period":"year","method":"role_country_seniority_unknown","sample_n":1667},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Google Sheets","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Anthropic","optional":true},{"name":"Apex","optional":true},{"name":"Google Drive","optional":true},{"name":"Matillion","optional":true},{"name":"MuleSoft","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-09-24T08:10:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-26T01:05:35Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.\nWe 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.\nThis 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.\nCompany Overview\nWider 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.\nResponsibilities\nCore Data Engineering\nBuild and maintain scalable ETL/ELT pipelines using Python (pandas) and SQL\nIngest data from Amazon S3, APIs, Salesforce, and internal systems\nWrite performant SQL in Amazon Redshift (DDL, DML, stored procedures)\nManage schemas, views, permissions, and table evolution safely\nDebug production data issues and performance bottlenecks\nEnsure data quality, freshness, lineage, and observability\nDocument pipelines and datasets clearly\nEnsure appropriate data safeguards for sensitive and regulated data, including PHI and PII\nOrchestration & Automation\nMigrate legacy cron-based workflows to more robust orchestration frameworks\nImplement idempotent, retry-safe, production-ready jobs\nImprove reliability and monitoring of existing pipelines\nUse Git for version control and CI-friendly development practices\nAnalytics & Modeling Support\nPartner with Analytics and Data Science to provide clean, modeled datasets\nSupport BI tools, reporting workflows, and Google Sheets integrations\nEnsure internal SLAs for data quality and delivery frequency are met\nProvide expert support for complex data integration challenges\nAI / LLM Integration\nBuild lightweight AI-powered utilities (e.g., metadata extraction, SQL generation, anomaly explanation)\nIntegrate LLM APIs into existing data workflows\nFocus on practical augmentation that saves analyst and engineer time\nWhat Success Looks Like\nData pipelines are reliable, observable, and well-documented\nRedshift schemas are clean, performant, and well-managed\nAnalysts and stakeholders trust the data\nAI-powered tools meaningfully reduce engineering or analyst workload\nInternal SLAs for data delivery and quality are consistently met\nRequirements\n3-6 years of experience in data engineering or analytics engineering\nStrong Python skills (dataframes, file I/O, APIs)\nStrong SQL skills, including warehouse-specific optimization\nHands-on experience with AWS (S3, IAM, Redshift)\nExperience using APIs for data ingestion and system integration\nExperience with Git and collaborative development workflows\nComfortable working with imperfect data and legacy systems\nPreferred Qualifications\nExperience replacing cron with modern orchestration tools (e.g., Airflow or similar)\nExperience with Salesforce API integrations\nFamiliarity with Google Drive / Google Sheets APIs\nExposure to LLM APIs (OpenAI, Anthropic, etc.)\nExperience working with healthcare data (claims, eligibility, CDAs/HRAs)\nExperience partnering with Data Scientists to productionalize models\nExperience with tools such as Matillion, Mulesoft, or similar\nBenefits\nCompensation\nThe expected base salary range for this position is $130,000 - $160,000 per year. Actual compensation will depend on experience, qualifications, and location.\nAs a venture-backed company, Wider Circle offers competitive compensation including:\nPerformance-based incentive bonuses\nOpportunity to grow with the company\nComprehensive health coverage including medical, dental, and vision\n401(k) Plan\nPaid Time Off\nEmployee Assistance Program\nHealth Care FSA\nDependent Care FSA\nHealth Savings Account\nVoluntary Disability Benefits\nBasic Life and AD&D Insurance\nAdoption Assistance Program\nTraining and Development\nAnd most importantly, an opportunity to make the world a better place!\nWider 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.","description_format":"text","description_chars":5551,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T08:10:00Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":24,"reasons":["conf:2","win:early"],"computed_at":"2026-09-25T05:45:01Z"},"pay":null,"html_url":"https://alion.io/job/wider-circle-healthcare-data-engineer","json_url":"https://alion.io/job/wider-circle-healthcare-data-engineer.json","meta":{"generated_at":"2026-09-26T01:47:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1809,"day_limit":5000,"remaining_today":3191,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}