About Crossover Health
Crossover Health is creating the future of health as it should be. A national, team-based medical group with a focus on wellbeing and prevention that extends beyond traditional sick care, the company delivers an entirely new model of healthcare—Primary Health—built on the foundation of trusted relationships, an interdisciplinary care team approach, and outcomes-based payment. Crossover’s Primary Health model integrates primary care, physical medicine, mental health, health coaching, care navigation and more, and delivers care in surround-sound—in-person, virtually and via asynchronous messaging. Together we are building a community of members that embraces healthcare as a proactive part of their lifestyle.
Develop and maintain data sources within Crossover’s enterprise data warehouse (inclusive of our current vendor and/or future data infrastructure)
Assist with the development of a comprehensive data strategy and roadmap, including recommendations for data architecture, data storage, data integration, data quality, and data models
Design and build data models to clean and transform datasets for use by Crossover’s Data Science team
Design customized data tests to guarantee quality and repeatability of data model results
Manage the creation, maintenance, and processing data ingest and export
Assist stakeholders including analytics, design, product, and executive teams with data-related technical issues
Assist with ETL, ELT, and reverse-ETL design and development initiatives including data analysis, source-target mapping, data profiling, change data capture, ETL coding, QA testing, and performance tuning
Invest in documentation, including all system design, architecture and ongoing changes
Design and support production job schedules, including alerting, monitoring, break fixes, and performance tuning
Build solutions that are automated, scalable, and sustainable while minimizing defects and technical debt
Perform other duties as assigned
Bachelors in Computer Science, related degree, or equivalent professional experience
6+ years relevant work experience within a complex, dynamic environment, with preference for experience with clinical healthcare data.
Strong knowledge of SQL (DML & DDL), Stored Procedures, Indexes, user defined functions, and related data query and management technology .
Experience building and operating highly available, distributed systems of extraction, ingestion, and processing of large data sets
Experience in business intelligence development across a variety of applications (OLTP, OLAP and DSS)
Experience developing, designing and supporting applications and relational databases
Experience with enterprise data warehouse design patterns and technology
Experience with data migration tools and techniques
Experience with data integration tools such as FiveTran, Stitch, Grouperoo or similar ELT/Reverse ETL tools
Working knowledge of Git, dbt, or similar collaborative code management software
Masters in Computer Science or related degree
Healthcare data acquisition, ingestion, processing, and analytics highly preferred
Previous experience with health informatics, taxonomies, terminologies, and code sets.
Experience with healthcare claims data, formats, and analysis
Experience with Health Catalyst’s data and analytics platform
To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.#LI-Remote