{"id":1213355,"url":"https://alion.io/job/ensemble-health-partners-analytics-engineer","title":"Analytics Engineer","company":{"id":1996798,"name":"Ensemble Health Partners","domain":"ensemblehp.com","url":"https://alion.io/company/ensemblehp","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","San Jose, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":101600,"max":175200,"currency":"USD","period":"year","gross":null,"usd_annual":175200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-09-28T00:15:02Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Thank you for considering a career at Ensemble!\nEnsemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.\nEnsemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!\nO.N.E Purpose:\nCustomer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.\n\nEmbracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.\n\nStriving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.\n\nThe Opportunity:\nAs a Senior Analytics Engineer, you will play a critical role in advancing Ensemble’s data, automation, and AI strategy within Revenue Cycle Management (RCM).\nWe prioritize strong analytics engineering fundamentals, modern data stack expertise, and scalable design practices. Healthcare RCM experience is a strong advantage but not required - domain expertise can be developed. Technical excellence, engineering rigor, and systems thinking are essential.\nEssential Job Functions\nDesign, develop, test, deploy, monitor, and continuously improve high-quality data models and transformation pipelines using dbt within a Databricks Lakehouse environment.\nBuild scalable, maintainable, and reusable data models, macros, testing frameworks, and automation logic that address cross-functional AR Follow-Up needs.\nCollaborate with operational and product stakeholders to translate AR workflows into technical designs and incremental deliverables that enable automation and intelligent prioritization.\nPartner with data architecture to establish, document, and advocate for analytics engineering standards, modeling conventions, naming patterns, and testing best practices.\nParticipate in and help lead technical design sessions, spike investigations, and data architecture reviews to ensure alignment with long-term platform and automation strategy.\nEngage in code reviews to ensure data model quality, promote modular and testable design, and mentor engineers through constructive, actionable feedback.\nTroubleshoot complex data issues across ingestion, transformation, and semantic layers, driving sustainable, long-term fixes.\nContribute to a culture of analytics engineering excellence by promoting automation, observability, data quality testing, governance, and continuous improvement.\nDesign and optimize Delta Lake tables and Spark workloads for performance, scalability, and cost efficiency.\nHelp evaluate emerging tools, frameworks, and vendor solutions within the modern data ecosystem and provide guidance on their potential impact or value.\nSupport the transformation of AR Follow-Up through structured datasets that enable (for example):\nAccount prioritization and scoring\nDenial categorization and trend analysis\nAging analysis and performance tracking\nWorkflow routing and automation logic\nQualifications\nBachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related technical field.\n5+ years of experience in analytics engineering, data engineering, or advanced BI building production-grade data solutions.\nStrong hands-on experience with dbt in a modern ELT environment (or similar framework).\nExperience working with Databricks, Spark, and Delta Lake (or similar distributed data platforms).\nAdvanced SQL expertise and experience optimizing large-scale data transformations.\nDeep understanding of analytics engineering best practices including automated testing, CI/CD, modular design, observability, and governance.\nExperience building scalable data models in distributed or cloud-based architectures.\nStrong communication skills with the ability to translate complex technical concepts to diverse stakeholders.\nDemonstrated curiosity and interest in enabling AI, ML, or intelligent automation initiatives.\nDemonstrated knowledge of data architecture principles, modeling patterns, and analytics engineering best practices.\nPreferred Skills:\nExperience working with healthcare revenue cycle management data (claims, remittances, denials, payments, AR aging).\nFamiliarity with AR Follow-Up workflows, operational work queues, or denial management processes.\nExperience supporting automation, workflow optimization, or rule-based systems.\nExposure to ML feature engineering, model enablement, or AI-driven insights within Databricks.\nExperience working in regulated industries requiring strong data governance and compliance controls.\nMust be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences.\nThis position pays between $101,600- 175,200, based on experience \nThis is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.\nJoin an award-winning company\nFive-time winner of “Best in KLAS” 2020-2022, 2024-2025\nBlack Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024\n22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024\nLeader in Everest Group's RCM Operations PEAK Matrix Assessment 2024\nClarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023\nEnergage Top Workplaces USA 2022-2024\nFortune Media Best Workplaces in Healthcare 2024\nMonster Top Workplace for Remote Work 2024\nGreat Place to Work certified 2023-2024\nInnovation\nWork-Life Flexibility\nLeadership\nPurpose + Values\nBottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:\nAssociate Benefits - We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs. \nOur Culture - Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation. \nGrowth - We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. \nRecognition - We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company. \nEnsemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.\nDue to business, operational, payroll, and regulatory requirements, this position is limited to individuals who reside and are authorized to work within the United States. Applications generated from outside the United States will not be considered. Individuals may reapply when located within the United States.\nEnsemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact .\nThis posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role’s range.\nEmployment Disclaimers - Ensemble","description_format":"text","description_chars":8491,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Revenue Cycle & Medical Billing"],"lifecycle":[{"event":"open","at":"2026-09-25T05:44:26Z"}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":0.9,"age_days":16,"expected_fill_days":42,"reasons":["conf:1","velocity","win:mid"],"computed_at":"2026-09-27T05:45:00Z"},"pay":{"stated_usd_annual":175200,"is_top_pay":true},"html_url":"https://alion.io/job/ensemble-health-partners-analytics-engineer","json_url":"https://alion.io/job/ensemble-health-partners-analytics-engineer.json","meta":{"generated_at":"2026-09-28T05:20:46Z","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":3567,"day_limit":5000,"remaining_today":1433,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}