Reference #: IT-796
Our client is an industry‑leading provider of medical treatments and procedures that operates a nationwide network of more than 230 clinics and home service locations. With $2B+ in annual revenue and experiencing exponential growth, the organization supports a highly dispersed workforce that includes over 500 corporate employees and more than 2000 associated medical professionals across the country.
Position
We are seeking a Data Engineer to join our client’s data team to implement strategy across data warehousing, ETL, SQL, Snowflake, and Azure platform performance. We are specifically seeking a Data Engineer with experience in Power BI, Snowflake, dbt, and a focus to help uncover gaps and drive improvements within the environment. The Data Engineer will be involved with both the design and implementation of data pipelines, data platform integrations, advanced reporting models, and long-term performance across data structures. This role reports to the VP of Data Engineering and will work closely with the Lead Data Engineer to drive data roadmap initiatives, projects, and performance.
Desired Experience:
- Prior experience in the design and implementation of data strategy and platform performance
- Former experience with Power BI and Snowflake integrations
- Previous experience working with SQL and Azure data models, dbt, and related
- Strong stakeholder communication and problem-solving skills to design and implement performance improvements
Position and Company Attributes:
- Opportunity to have strong influence and technical direction of the data strategy roadmap
- 100% remote role as direct report to VP of Solution Architecture with high visibility and influence
- Very stable IT organization within a corporation in business since 1986 in a period of sustained growth
- High focus on advanced engineering, design, projects, and implementation of company-wide data strategy
This is an excellent opportunity for a passionate data engineer to join a corporate IT team in an influential data engineering role driving next generation data strategies within a fast-evolving enterprise data centric environment.