Top Remote Senior Level Data Engineer Jobs in Birmingham, AL

Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.

The Freelance Director Level Strategic Consultant will support strategic consulting projects in the healthcare sector, developing and implementing initiatives that drive business growth for clients. This role involves working closely with the team and contributing expertise to overcome complex challenges.

The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.

The Database Administrator will monitor and optimize geospatial databases, perform SQL Server administration, and work collaboratively with various teams to improve database performance, implement data standards, and assist in database design and development.

The Data Senior Principal Consultant guides clients through the implementation and operational phases of Workday, leveraging expertise in design, configuration, and data management. Responsibilities include mentoring other consultants, managing project workstreams, and ensuring successful data conversion processes.

As a Senior Data Engineer at Amperon, you will build and optimize a scalable data stack for energy forecasting, automate data processing and model training, monitor system performance, and enhance data flow efficiency while working with senior team members to address engineering challenges.