ShiftKey is a platform that is disrupting the way healthcare facilities find licensed and certified professionals to fill available shifts. Leveraging marketplace dynamics and deep industry knowledge, the company is playing a vital role in mitigating America’s healthcare staffing shortages, enabling direct connections between facilities and healthcare professionals. By offering the opportunity to work as much or as little as they choose and putting the power back into the hands of healthcare workers, ShiftKey is bringing more licensed professionals back into the workforce, a solution that is solving a major crisis in healthcare. For more information, visit
- Designing, developing, and optimizing data pipelines to efficiently move data from various sources to data storage and processing systems.
- Integrating data from different sources, including databases, APIs, third-party services, and more, ensures data consistency and reliability.
- Setting up and maintaining data warehousing solutions to store and manage large datasets, enabling efficient querying and reporting.
- Developing and maintaining ETL processes to cleanse, transform, and enrich raw data into usable formats.
- Implementing data quality checks, validation, and monitoring procedures to ensure the accuracy and consistency of data.
- Tuning and optimizing data pipelines and processing workflows for improved performance and scalability.
- Managing and maintaining the data infrastructure, including databases, cloud services, and server clusters.
- Collaborating with cross-functional teams to understand data requirements and translate them into effective technical solutions.
- Implementing data security measures and adhering to data privacy regulations to safeguard sensitive information.
- Creating and maintaining documentation for data pipelines, processes, and infrastructure configurations.
- Staying updated with the latest Data Engineering technologies and tools, and recommending their adoption to enhance data processing capabilities.
- 3+ years of experience as a Data Engineer, Analytics Engineer, Data Warehouse Engineer or similar role
- Previous experience working with Azure platforms including Synapse and Data Factory, T-SQL, PostgreSQL, and Power BI.
- Knowledge of data security and privacy practices.
- Experience in designing and implementing data models, algorithms and statistical analyses
- Excellent communication skills to collaborate with technical and non-technical teams.
- Inclusive and collaborative work environment
- “ Subject to certain roles ” office spaces making the hybrid work environment fun and engaging
- Comprehensive health, vision, and dental coverage
- Benefits effective as of first day
- Progressive PTO & Company-paid holidays with a broad selection of floating holidays to honor employees’ diverse needs
- 100% 401(k) employer match up to 6%
- Paid parental leave
- Investment in your wellness: access to mental health support