Healthcare’s helping hand.
CHG shook things up in 1979 by inventing the locum tenens staffing model. We connect doctors with patients who need their care. As the largest physician staffing firm in America, our providers treat millions of patients each year.
Our industry is growing and demand is high. This means you’ll have plenty of opportunities to grow and develop in your career. Keeping healthcare healthy can be as fun as it is rewarding
Engineering is looking for a Senior Data Engineer to join our Data Platform team. The Data Platform team gathers and enables data throughout the organization in order to provide insights into all aspects of CHG’s business. This allows our Sales and other business partners to make better informed decisions. As a Senior Data Engineer, you will design and build ETL/ELT processes and data models that enable others to build dashboards and reports, lead technical projects, and mentor other engineers on the team.
Responsibilities
Contribute to the Enterprise Data Strategy, partnering with leadership and the Data Platform Architect to shape key upcoming initiatives
Design, develop, and deploy complex ETL/ELT solutions using dbt and Snowflake, following team standards with a focus on performance, scalability, and data quality
Lead technical projects from design through delivery, working independently on complex problems that have broad business impact
Serve as a go-to resource for data modeling, pipeline design, and performance optimization, and evaluate and recommend new tools that improve platform capabilities
Collaborate with stakeholders across Engineering, Sales, and Business Intelligence to align data solutions with business objectives
Mentor and coach Data Engineers, fostering technical growth and knowledge sharing within the team
Help establish and uphold coding standards, testing methodologies, and documentation practices, and participate in technical design reviews
Partner with Product and Project Management to estimate work and deliver in an agile environment
Qualifications
Advanced understanding of logical and physical data models, including Kimball methodology and dimensional modeling
Maintain existing and develop new data pipelines and data models with strong attention to processing performance
Ensure quality data output through thorough self-QA that follows the Data Platform team’s testing standards
Solve unique, complex problems independently and make sound technical decisions
Mentor and develop others while staying open to feedback and learning from peers
Clearly communicate difficult technical information to both technical and non-technical audiences
Work well alone and as part of a team; willing to participate in on-call rotations
Education & Experience
6+ years of experience with data analysis and building ELT/ETL solutions
5+ years of experience with ELT/ETL and cloud data warehousing methodologies and tools (Snowflake and dbt preferred)
5+ years of SQL experience writing complex queries and optimizing performance
Demonstrated experience with reporting-database integration, using APIs to extract data from source systems, and processing data in a range of database platforms
Demonstrated experience with software design practices, relational databases, and data-driven reporting applications
Demonstrated experience leading technical projects and mentoring less experienced engineers
Bachelor’s degree or equivalent work experience in a technical field
Preferred
Strong preference for candidates with experience building data pipelines using Python
Experience with Dagster as an orchestration tool
Experience building and/or using a semantic or metric layer
Experience developing Tableau extracts and dashboards and enabling self-service analytics
We believe in fair compensation for all of our people, which is why our pay structure takes into account the cost of labor across U.S. geographic markets. For this position, we offer a pay range of $116,500 -- $225,300 annually, with pay varying…