Top Data Engineer Jobs

The Data Quality Coordinator will evaluate grower field-level data for accuracy and consistency, identify data quality issues, assist in implementing new processes, execute validation procedures, and review data for program requirements. This part-time remote position requires excellent analytical and problem-solving skills.

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.

The Senior Data Engineer designs and develops business applications as part of an Agile team, engages with stakeholders to gather requirements, and implements solutions using Azure technologies. They are responsible for data movement, dashboarding, and ensuring architecture aligns with best practices, mentoring team members, and conducting vendor evaluations.

The Data Solutions Specialist manages customers’ variable data for printed labeling, integrating data from IT systems into software solutions, and serving as a customer-facing expert on variable data. Responsibilities include direct customer engagement, project coordination, and support for data management and digital product solutions.

The Senior Power BI Consultant will design and implement complex data models, create interactive reports, develop DAX formulas, and integrate data from diverse sources. Responsibilities also include client consulting to identify growth opportunities and providing training on Power BI solutions, all while ensuring high-quality output and collaboration with enterprise teams.

The Database Administrator will manage and maintain databases, ensuring reliability and security. Responsibilities include database installation, maintenance, automation of business processes, and involvement in the Software Development Life Cycle (SDLC).

The Data Engineer II will design and implement infrastructure for a unified data platform, supporting organizational decision-making. Responsibilities include building ETL pipelines, maintaining data warehouses, analyzing data sources, and collaborating with stakeholders to meet data needs.