Big Data Engineer - 100% Remote

Genesis10 is currently seeking a Big Data Engineer for a contract position with an Agricultural Cooperative located in Inver Grove Heights, MN. This role will join the Data Engineering team to deliver scalable, governed, and business-aligned data products across the enterprise.

Responsibilities:

• Partner with business and technical stakeholders to gather requirements, define analytics needs, and transform source system data
• Translate business requirements into scalable data models, pipeline logic, transformation patterns, and architecture decisions
• Design, build, test, deploy, and maintain data pipelines across Snowflake, AWS, Microsoft, and related enterprise platforms
• Develop governed data products that support reporting, analytics, data science, automation, and business decision-making
• Build and maintain data models and transformations using SQL, Python, dbt, Snowflake, and modern data engineering practices
• Collaborate with DevOps, architecture, security, analytics, and business teams to move solutions into production
• Apply development standards including version control, code review, testing, documentation, and CI/CD
• Support data governance practices including RBAC, access controls, naming standards, lineage, and data quality expectations
• Identify opportunities to automate manual processes, improve data delivery, optimize performance, and reduce operational risk
• Troubleshoot pipeline failures, data quality issues, access issues, and performance bottlenecks
• Support migration and decommissioning of legacy platforms, reports, and manual data processes
• Collaborate with analysts and data scientists to convert recurring ad hoc analysis into scalable data delivery solutions
• Embody a culture of ownership, continuous improvement, documentation, innovation, and learning

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Engineering, Mathematics, or a related field
• 3+ years of experience in data engineering, analytics engineering, business intelligence engineering, software engineering, or a related technical role
• Strong SQL and Python skills with experience building, optimizing, and supporting data transformations or data pipelines
• Experience developing data pipelines, ETL/ELT processes, data models, or analytics-ready datasets
• Experience with Snowflake and dbt in a production data environment
• Experience with cloud data platforms and services such as AWS, Microsoft Azure, or similar technologies
• Experience translating business requirements into technical solutions
• Strong analytical, problem-solving, communication, and documentation skills
• Ability to work independently while collaborating effectively in a team environment
• Experience with Azure DevOps, Git, CI/CD, APIs, AWS Lambda, S3, Octopus Deploy, Power BI, or related tools
• Experience with governed data environments, RBAC, secure data access, data sharing, or enterprise data governance
• Experience supporting medallion architecture, data products, domain-oriented data ownership, or self-service analytics
• Experience working with analysts, data scientists, product teams, DevOps teams, enterprise architects, and business stakeholders
• Experience in agriculture, energy, supply chain, logistics, trading, hedging, finance, or operations data domains