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.
Job Summary
Crossover’s Data Engineer is responsible for managing and developing data sources for analytics at scale. This is a critical role for supporting Crossover’s growing analytics team, and serves as the connection between Crossover’s Product and Technology teams, Data Science team, and data infrastructure vendors. In this role, the successful candidate will build out new data sources within the enterprise data warehouse, guide data modeling efforts for new and existing projects, and manage data ingress and egress between Crossover teams, clients, partners, and vendors. The ideal candidate will have experience with both clinical healthcare data as well as healthcare claims data.
Job Responsibilities
- Develop and maintain data sources within Crossover’s enterprise data warehouse (inclusive of our current vendor and/or future data infrastructure)
- Assist with recommendations for data architecture, data storage, data integration, data quality, and data models
- Contribute to design sessions based on technical requirements, and build data models to clean and transform datasets for use by Crossover’s Data Science and Analytics teams
- Assist with ETL, ELT, and reverse-ETL design and development initiatives including data analysis, source-target mapping, data profiling, change data capture, QA testing, and performance tuning to guarantee quality and repeatability of data model results
- Create and maintain data model standards, including MDM (Master Data Management) and codebase standardization
- Migrate Enterprise Workloads to Snowflake using industry standard methodologies
- Automate and deploy as well as build CI/CD pipelines to support cloud based workload
- Design, deliver cloud native, hybrid, and multi-cloud Workloads
- 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
- Assist stakeholders including analytics, design, product, and executive teams with data-related technical issues
- Ability to work independently with little instruction or direct oversight
- Perform other duties as assigned
Minimum Qualifications
- Bachelors in Computer Science or Data Engineering, related degree, or equivalent professional experience
- 3+ years relevant work experience within a complex, dynamic environment, with preference for experience with clinical healthcare data
- 3+ years architecting, implementing, and supporting data infrastructure and topologies
- Experience building and operating highly available, distributed systems of extraction, ingestion, and processing of large data sets across a variety of applications (OLTP, OLAP and DSS)
- 3+ years Experience with Data warehousing, methodologies, modeling techniques, design patterns, and technologies.
- Experience with data migration tools and deploying cloudbase solutions
- Experience in writing advanced SQL (DML & DDL), including Stored Procedures, Indexes, user defined functions, windows functions, correlated subqueries and CTE's, and related data query and management technology
- Coding ability in R, Python, and Shell Scripting to build and deploy Pipelines
- Working knowledge of Git, or similar collaborative code management software
- Experience with data integration tools such as FiveTran, DBT, Informatica, Matillion, or similar ETL/ELT tools
- Experience with Snowflake’s data platform
Preferred Qualifications
- Masters in Computer Science, Data Engineering, or related degree
- Healthcare data acquisition, ingestion, processing, and analytics knowledge highly preferred
- Previous experience with health informatics, taxonomies, terminologies, and code sets
- Knowledge and understanding of product features: IAAS, PAAS and SAAS solutions
- Experience with healthcare claims data, formats, and analytics
- Experience with Health Catalyst’s data and analytics platform
- Experience with Tableau Cloud administration
- Experience with Master Data Management
- Understand Cloud Ecosystem
The base pay range for this position is $91,428.00 to $105,143.00 per year. Pay range may vary depending on work location, applicable knowledge, skills, and experience. This position will be eligible for an annual bonus opportunity and comprehensive benefits package that includes Medical Insurance, Dental Insurance, Vision Insurance, Short- and Long-Term Disability, Life Insurance, Paid Time Off and 401K.
Crossover Health is committed to Equal Employment Opportunity regardless of race, color, national origin, gender, sexual orientation, age, religion, veteran status, disability, history of disability or perceived disability. If you need assistance or an accommodation due to a disability, you may email us at
To all recruitment agencies : We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.
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