{"id":62492,"url":"https://alion.io/job/paretohealth-data-engineer","title":"Senior Data Engineer","company":{"id":6362,"name":"ParetoHealth","domain":"paretohealth.com","url":"https://alion.io/company/paretohealth","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Kedro","optional":false},{"name":"Least Privilege","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tokenization","optional":false},{"name":"TypeScript","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-18T16:29:47Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-17T02:19:19Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":59},"description":"About ParetoHealth\nParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model.\nOur mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs.\nBy combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people.\nHeadquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another.\nIf you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you.\nPlease note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future.\nPosition Summary:\nThe Senior Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS that make high-quality, analytics-ready data available to our AI and Analytics teams. This role will own ingestions, transformation, and storage patterns using services such as Lambda, Glue, Athena, and S3, ensuring data is reliable, well-documented, and aligned with business and model-training needs. The role will also partner with Data Science to support MLOps, including reproducible machine-learning training and scoring pipeline, automated feature generation, deployment, and monitoring. It will power ML model workflows using sensitive healthcare data and support model training and scoring, production monitoring, and business feedback loops.\nKey Responsibilities:\nDesign, implement, and maintain scalable, fully serverless data pipelines on AWS using Lambda, Glue, Athena, Step Functions, and S3 to support reporting, analytics, and AI use cases.\nBuild and evolve data models and schemas that enable performant querying and downstream consumption by AI, Analytics and engineering teams. Build versioned data models, feature stores, with semantics, reproducible backfills, and safeguards against leakage or inconsistent definitions.\nDevelop ETL/ELT workflows to ingest, cleanse, transform, and load data from internal applications, third-party sources, and event streams into our data lake and analytical layers.\nPartner closely with Product, Underwriting, Analytics, and AI stakeholders to understand data requirements and translate them into robust data structures, contracts, and SLAs.\nImplement data quality controls, monitoring, and alerting to ensure accuracy, completeness, timeliness, and lineage of critical datasets and features used by models. Include automated controls for schema change, validity, reconciliation, claims maturity, and model leakage.\nOptimize serverless workloads for cost, performance, and scalability, including query tuning in Athena and efficient storage formats/partitioning in S3.\nContribute to and enforce data engineering best practices, including version control, code review, CI/CD for data pipelines, and Infrastructure as Code with AWS CDK.\nCollaborate with AI and Analytics teams to design and maintain feature stores and other reusable data assets that accelerate experimentation and model deployment. Partner on batch or API scoring and capture model/data versions, recommendations, actions, overrides, and claims to close the learning loop.\nExperience designing and operating event-driven or streaming data pipelines for near-real-time scoring or decisioning, using Kafka, Amazon Kinesis, or comparable technologies; strong understanding of event schemas, idempotency, ordering, retries, observability, and failure recovery.\nTroubleshoot pipeline issues, resolve data-related incidents, and provide ongoing support for production data workflows and model-driven applications.\nDocument data models, pipelines, and data contracts, and help evangelize data literacy and self-service analytics across the organization.\nRequired Skills & Qualifications:\nStrong experience with AWS data and serverless services (Lambda, Glue, Athena, S3, Step Functions or similar orchestration tools).\nAdvanced proficiency in Python (required) and SQL, with experience in relational and NoSQL databases and in building reusable ETL/ELT libraries. Hands-on experience with PySpark for distributed data processing is strongly preferred; TypeScript experience for AWS CDK required.\nExperience with MLOps practices, including versioned feature and training datasets, orchestration of training and scoring workflows, CI/CD, model/data monitoring, and reproducible deployments in partnership with AI.\nSolid understanding of data modeling principles for AI workloads. Apply schema evolution, incremental processing, partitioning, and columnar or open-table formats such as Parquet and Iceberg.\nExperience designing and operating data pipelines at scale, including batch and near-real-time ingestion. Hands-on experience with Kafka is preferred.\nFamiliarity with SQL and query optimization in columnar data stores and engines.\nKnowledge of data quality, governance, and security for sensitive healthcare and financial data, including least-privilege access, retention, classification, tokenization, and de-identification.\nHands-on experience with Infrastructure as Code, preferably AWS CDK, for provisioning and managing data infrastructure.\nAbility to partner with AI and Analytics teams to design data solutions for model experimentation and production; Kedro or similar workflow experience is a plus.\nKnowledge of responsible AI and data-use practices, including permitted-use controls, privacy, fairness considerations, documentation, and governance for sensitive healthcare and financial data.\nStrong communication skills to explain complex data concepts clearly to business stakeholders; regulated-domain experience, preferably healthcare claims or insurance, is a plus.\nMinimum Requirements: \nBachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience; a master's degree is preferred.\n5+ years in data engineering or a related role, with significant ownership of production data pipelines and analytics platforms; hands-on ML/AI experience supporting feature preparation, model training, deployment, or monitoring is strongly preferred.\nExperience with AWS data services in a production environment (for example, Lambda, Glue, Athena, and S3) is preferred; equivalent production experience on another cloud data platform will be considered.\nExperience building and maintaining data solutions that support reporting, BI, and/or AI/ML initiatives.\nPerks & Benefits:\nFully paid medical, dental, and vision benefits.\nFlexible PTO\n401k company contribution\nTuition reimbursement\nProfessional development allowance\nTransportation allowance and daily parking reimbursement \nEngaging hybrid work environment\nWe are guided by our values:\nFire in the belly\nThe drive to learn, to improve, and to deliver outstanding value every day.\nSee the field\nThe ability to see the big picture and prepare to meet tomorrow’s needs.\nGet it done right\nThe passion to produce at higher rates and to the highest standards.\nFor the greater good\nA united community creating better health benefit solutions for all.\nPlease note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information.\nWe will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address.\n Disclosures:\nParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients.\nCalifornia Applicants: See Pareto’s CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, “Pareto”) collects and uses personal information submitted by employment applicants.","description_format":"text","description_chars":9588,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["401k plan","Hybrid work","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Insurance & Benefits","Insurance Brokers & Agencies"],"lifecycle":[{"event":"open","at":"2026-08-18T16:29:47Z"}],"visa":[],"liveness":{"score":43,"band":"fade","label":"Fading","p_open":1,"p_active":0.783,"p_room":0.55,"age_days":58,"expected_fill_days":52,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/paretohealth-data-engineer","json_url":"https://alion.io/job/paretohealth-data-engineer.json","meta":{"generated_at":"2026-10-17T03:52:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5079,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6362},"rest":"https://alion.io/mcp/rest/get_company?id=6362"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fparetohealth-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fparetohealth-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fparetohealth-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/paretohealth-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fparetohealth-data-engineer"}]}