{"id":1056727,"url":"https://alion.io/job/karoo-health-sr-data-engineer","title":"Sr Data Engineer","company":{"id":679637,"name":"Karoo Health","domain":"karoohealth.com","url":"https://alion.io/company/karoohealth","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":90,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0.667,"time_to_fill_p50_days":42,"computed_at":"2026-10-09T06:01:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pittsburgh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":204000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":960},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Dask","optional":false},{"name":"Delta Lake","optional":false},{"name":"Google BigQuery","optional":false},{"name":"HIPAA","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-19T00:36:19Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-10-10T00:11:16Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":19},"description":"About Karoo Health\nCardiovascular care is often the #1 cost for health plans and employers, with the current fee for service model incentivizing providers to maximize volume and throughput at the expense of clinical outcomes and patient satisfaction. Karoo’s mission is to improve the lives of every cardiac patient in America by transforming the current care model to improve patient outcomes at significantly lower cost. Karoo deploys a value-based approach which combines a blend of traditional, guideline-based medicine and state of the art digital tools to accomplish this important mission by enabling the conversion to, and success in, value-based care arrangements for cardiovascular networks, health systems and payers. Karoo is backed by leading venture capitalists, including First Trust Capital Partners and BIP Ventures, and has near and medium-term plans for further rounds.\nSenior Data Engineer\nJob Description\nOverview\nLocation: Pittsburgh preferred, or remote, U.S.-based\nType: Full-time technical role\nAn Industry Defining Company\nKaroo is a venture-backed startup, prior to Series A, on a mission to transform cardiovascular care. Our platform is designed to empower large provider groups and health systems to succeed in value-based care contracts with payers by improving patient outcomes and reducing cost of care through better coordination, analytics, and disease management. While our initial focus is cardiology, we are building a scalable operating system for managing complex conditions across the healthcare spectrum.\nThis is a rare opportunity to join a mission-driven founding team at a pivotal stage and help define the future of healthcare technology, with the power to improve the lives of patients with cardiovascular disease, the number one cause of death in America today.\nThe Role\nKaroo Health is seeking a skilled and dedicated developer to join our Engineering team. As a software engineer at Karoo Health, you show a clear passion for quality and love to bring software to life. You are energized by the idea of building something new and want to work on problems that matter.\nIn order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and strive to produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward.\nWhen applying, please include a description of why you’re interested in this role.\nWhat You'll Do\nDesign and Architect Data Systems: Lead the design, construction, installation, and optimization of highly reliable, scalable, and secure data architecture.\nDesign Core Healthcare Data Models: Own the design and evolution of foundational data models and schemas from the ground up, leveraging industry standards such as TUVA, OMOP and FHIR to translate clinical, operational, product, and reporting needs into scalable table structures, entities, and relationships.\nDevelop Data Pipelines: Build and maintain complex, production-grade data pipelines that ingest, process, enrich and normalize large volumes of healthcare data ensuring consistency, usability, and data integrity across downstream applications.\nData Quality and Governance: Establish and enforce data quality standards, monitoring, and validation processes to ensure the accuracy, completeness, and consistency of data used for analytics.\nPerformance Optimization: Implement query tuning, indexing, and partitioning strategies to maximize the performance and efficiency of data processing systems and data retrieval.\nCloud Infrastructure: Design and deploy scalable, secure, cloud infrastructure leveraging infrastructure-as-code best practices.\nSafeguard Data: Ensure strict compliance with healthcare data regulations (e.g., HIPAA, HITRUST) and implement data security best practices.\nBuild and Maintain EMR Integrations: Develop direct, bi-directional integrations with electronic medical record platforms.\nWhat We're Looking For\nDeep, hands-on experience working with healthcare data, including healthcare data standards and common data models such as TUVA, OMOP, or FHIR.\nDemonstrated experience designing core data models and schemas from scratch, including translating business, clinical, product, or user requirements into scalable data structures.\nExperience mapping raw healthcare data into standardized healthcare data models, including resolving data quality, normalization, terminology, and structural inconsistencies.\nHands-on experience integrating directly with EMR/EHR platforms, ideally including eClinicalWorks, AthenaOne, Epic, or comparable systems.\nExperience with healthcare data regulations (e.g., HIPAA, HITRUST) and data formats (e.g. FHIR)\nBachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience\nMinimum 5 years of dedicated professional experience in a Data Engineering role, preferably within a startup or fast-paced healthcare technology environment.\nExpert proficiency in SQL and at least one programming language used for data processing (Python or Scala).\nDeep experience designing and managing Data Warehouses (e.g., Snowflake, Google BigQuery, AWS Redshift) and experience with Data Lake technologies (e.g., S3, Delta Lake).\nDemonstrated hands-on experience with Big Data processing frameworks like Apache Spark or Dask.\nDeep understanding of cloud platforms (AWS preferred) and cloud-native development, including services like S3, Lambda, and RDS.\nHands-on experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions for managing data pipelines.\nExpert knowledge of system architecture, scalability, and performance optimization for data systems.\nExperience with test automation, CI/CD, and DevOps best practices for data deployments.\nAbility to work independently and make high-impact technical decisions.\nMust be legally authorized to work in the United States and not require employer sponsorship now or in the future\nWhy Join Us\nCompetitive salary and equity in an early-stage startup. \nOpportunity to define the technical solution from the ground up\nPossibly fully remote work environment with flexible hours\nHealth benefits, learning stipends, and professional development support\nA collaborative and transparent company culture that values creativity and ownership\nEqual Opportunity Statement\nAt Karoo Health Inc (“Karoo”), we believe that improving healthcare starts with creating a more equitable and inclusive world, both inside and outside our organization. We are committed to fostering a diverse workforce that reflects the communities we serve, and to building a culture where every team member feels valued, supported, and empowered. Our commitment to inclusion is reflected in initiatives such as equitable compensation practices, employee resource groups, inclusive benefits, and more.\nKaroo Health is proud to be an equal opportunity employer. We maintain a strict policy of non-discrimination for all applicants and employees. What does that mean for you? It means that we are dedicated to providing a workplace that is inclusive, respectful, and free from discrimination or harassment of any kind.\nEmployment decisions at Karoo Health are made based on merit, qualifications, and business need, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran status, political affiliation, or any other characteristic protected under applicable law. This policy applies to every aspect of the employment journey, from recruitment and hiring to compensation, benefits, training, promotion, performance evaluation, and beyond.\nWe’re committed to doing the right thing, always, and that includes creating a fair and inclusive hiring process and workplace for all.\nKaroo Health welcomes all.\nIn the United States, compensation is determined by factors including location, role level, job-related skills, experience, and market conditions. Some positions may also be eligible for bonuses, equity, or other benefits. 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