Senior Data Engineer

This is a fully remote position, open to applicants in Alabama, +31 more states.

📋 Description

• Design and construct data pipelines for the ingestion, transformation, and curation of data across enterprise systems.

• Implement data models and data layer structures in accordance with enterprise architecture standards, including bronze, silver, and gold layers.

• Create and uphold data assets that support analytics, reporting, and AI/ML use cases.

• Ensure the quality, reliability, and performance of data across pipelines and products.

• Collaborate with data architects, analysts, and product owners to deliver effective data solutions.

• Convert architectural patterns and requirements into production-ready pipelines and data products.

• Optimize data processing and storage for enhanced scalability and efficiency.

• Assist in the movement and integration of data across various systems and platforms.

• Diagnose and resolve issues, failures, and performance bottlenecks in pipelines.

• Contribute to the development of reusable components, implementation standards, and engineering best practices.

• Utilize AI-assisted development tools to design, develop, and troubleshoot data engineering solutions.

• Create and build AI-ready data solutions that support Power BI, AI agents, AI models, and machine learning models.

• Perform additional duties and responsibilities as assigned.

⛳️ Requirements

• Minimum of 7 years of experience in data engineering or related roles.

• Bachelor's degree in Computer Science, Data Engineering, or a related discipline.

• Proven experience in building and maintaining data pipelines within enterprise environments.

• Proficiency in various data engineering tools, programming languages, and frameworks.

• Experience in implementing data models and transformation logic based on architectural designs.

• Knowledge of data modeling, transformation, and orchestration principles.

• Experience within modern data ecosystems and cloud-based data platforms.

• Experience in implementing medallion or layered data architectures in partnership with data architects.

• Background in supporting analytics, reporting, or AI/ML-enabled data use cases.

• Familiarity with Microsoft Fabric and Azure Databricks.

• Experience or working knowledge of AI-assisted development tools such as GitHub Copilot and Claude.

• Proven ability to build AI-ready data solutions that support Power BI, AI agents, AI models, and machine learning models.

• Understanding of data quality, observability, and performance optimization practices.

• Employees must reside in and work from an approved state.

• Attendance, punctuality, and reliability are crucial.

🏝️ Benefits

• High-quality, low-deductible medical insurance.

• Affordable dental and vision plans.

• 5 weeks of paid time off.

• Nearly a dozen paid holidays.

• Retirement plan funded by the employer.

• Tuition reimbursement program.

• Parental leave.

• Resources for mental health and wellbeing.

• A reliable internet connection and a dedicated, well-equipped workspace are necessary for remote employees.