Data Engineer

Farm Credit Services of America • Omaha, NE

6d

About The Position

We are seeking a Data Engineer to join our team. This role designs, develops, integrates, and supports enterprise data solutions that enable operational processes, analytics, reporting, and AI capabilities. This role combines database development, data engineering, data integration, and analytics engineering responsibilities to deliver trusted, scalable, and efficient data products across the organization. Working closely with business teams, analytics teams, architects, and software engineering teams, the Data Engineer transforms business requirements into reliable data solutions that drive business value.

Requirements

• 4+ years' experience with data engineering, database development, analytics, reporting, or data integration disciplines.

Responsibilities

• Design, develop, and maintain data pipelines, integrations, and data products using modern cloud data platform technologies.
• Develop and optimize database structures, data models, semantic models, transformations, and reusable data assets supporting operational, analytical, and AI workloads.
• Integrate data across applications, APIs, databases, cloud platforms, and third-party solutions using modern integration patterns.
• Ensure data quality, performance, reliability, security, and scalability through testing, monitoring, automation, and operational best practices.
• Collaborate with business stakeholders, analysts, architects, and software engineering teams to translate business requirements into data solutions.
• Create and maintain curated datasets, business metrics, and consumption-ready data products that support reporting, dashboards, self-service analytics, and AI initiatives.
• Develop and support reports, dashboards, visualizations, and analytical solutions when appropriate, while partnering with Business Insights & Analytics teams to enable enterprise reporting and decision support capabilities.
• Troubleshoot and resolve data, integration, reporting, and performance issues while continuously improving engineering practices and data delivery processes.
• Contribute to engineering standards, documentation, automation, and continuous improvement across the enterprise data ecosystem.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level