{"id":65952,"url":"https://alion.io/job/humana-senior-data-engineer-nba","title":"Senior Data Engineer - NBA","company":{"id":2742,"name":"Humana","domain":"humana.com","url":"https://alion.io/company/humana","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":81,"ghost_share":0.025,"stale_share":0.111,"repost_share":0.21,"time_to_fill_p50_days":10,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":["Nashville, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":117600,"max":161700,"currency":"USD","period":"year","gross":null,"usd_annual":161700},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true},{"name":"Feature Store","optional":true},{"name":"Great Expectations","optional":true},{"name":"HIPAA","optional":true},{"name":"Recommender Systems","optional":true}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-18T16:53:04Z","board_verified":false,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":62},"description":"Become a part of our caring community\nThe Senior Data Engineer builds and evolves the data foundation that powers the NBA platform on the Databricks Lakehouse. This role is responsible for developing scalable data pipelines, feature engineering workflows, and real-time ingestion patterns that transform raw healthcare, member, behavioral, engagement, and socioeconomic data into trusted assets for decision intelligence, machine learning, reinforcement learning, and AI workloads. This is a hands-on engineering role focused on delivering reliable, well-governed, and high-quality data products while partnering closely with Data Science, AI Engineering, and Platform Engineering teams.Key Responsibilities\n\nData pipeline development - Design, build, and maintain Bronze, Silver, and Gold lakehouse pipelines that power member profiles, clinical signals, engagement data, and decision intelligence use cases.\n\nFeature engineering - Develop and maintain Gold-layer feature tables and reusable data products that support model training, model scoring, reinforcement learning, and real-time decisioning.\n\nBatch and streaming ingestion - Build and support batch and real-time ingestion pipelines using Databricks, Spark, Delta Lake, and event-driven data architectures.\n\nData quality engineering - Implement data quality validation, reconciliation, monitoring, alerting, and testing controls to ensure trusted and production-ready data assets.\n\nData modeling - Design scalable data models that balance usability, governance, performance, and long-term maintainability.\n\nPerformance optimization - Tune Spark workloads, storage strategies, partitioning schemes, and query performance to improve efficiency, scalability, and cost management.\n\nData governance - Follow established standards for data lineage, security, PHI handling, auditability, and regulatory compliance.\n\nPlatform integration - Partner with Decision Intelligence, AI Engineering, and Platform Engineering teams to ensure high-quality data is available across the NBA ecosystem.\n\nOperational support - Diagnose and resolve pipeline failures, data quality issues, and production incidents to maintain reliable platform operations.\nUse your skills to make an impact\nRequired Qualifications\n\n Bachelor's degree in computer science or related field\n\n 5+ years of data engineering experience building and operating production data platforms.\nStrong SQL and Python skills with hands-on experience developing Spark-based data pipelines.\nExperience with Databricks, Delta Lake, or comparable lakehouse platforms.\nExperience implementing Medallion Architecture (Bronze/Silver/Gold) data patterns.\nExperience building batch and streaming data processing pipelines.\nStrong understanding of data modeling, pipeline testing, data quality controls, and operational support practices.\nFamiliarity with modern cloud-based data platforms and distributed data processing systems.\nStrong communication skills and the ability to collaborate across engineering, analytics, and business teams.\nPreferred Qualifications\n\n Experience with Databricks Feature Store, Unity Catalog, Delta Live Tables, and Databricks Workflows.\nExperience with Spark Structured Streaming and real-time feature engineering.\nExperience with Kafka and event-driven data architectures.\nFamiliarity with machine learning, recommendation systems, reinforcement learning, or decision intelligence platforms.\nExperience with Azure Data Factory, Azure Data Lake Storage, Azure Event Hubs, or similar cloud-native data services.\nExperience with data observability and quality platforms such as Great Expectations, Monte Carlo, or equivalent tools.\nExperience integrating external healthcare, claims, CMS, CDC, consumer, or social determinants of health datasets.\nBackground in healthcare, insurance, or another regulated industry with PHI/HIPAA handling requirements.\nWe build with modern AI development tools (such as Claude and GitHub Copilot) and expect everyone on the team to use them to work faster and at higher quality.\nWork Style: Remote/Hybrid - Preferably Boston, MA.\nOccasional travel to Humana's offices for training or meetings may be required.\nWork Hours: Typical business hours are Monday-Friday, 8 hours/day, 5 days/week-- some flexibility might be possible, depending on business needs.\nVery minimal travel might be required for training, meetings, and/or conferences\nInterview Format\nAs part of our hiring process, we will be using on-demand technology provided by Hire Vue, a third-party vendor. This technology provides our team of recruiters and hiring managers with an enhanced method for decision-making through on-demand candidate assessments.\nIf you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in an on-demand assessment with pre-determined questions. You should anticipate the assessment to take approximately 10-15 minutes.\nYour on-demand assessment will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.\nSSN Task via Workday\nShould you be extended a formal employment offer you will receive a request to enter your SSN into our Workday system to scan for duplicate profiles.\nWork at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.Scheduled Weekly Hours\n40Pay Range\nThe compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$117,600 - $161,700 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.Description of Benefits\nHumana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.About us\nAbout Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. Equal Opportunity Employer\nIt is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. 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