Big Data Engineer - SQL, Python, Snowflake, DBT

Big Data Engineer - SQL, Python, Snowflake, DBT

Location: Inver Grove Heights, MN

Onsite Flexibility: Remote

Contract Details

• Position Type: Contract
• Contract Duration: 4 months
• Pay Rate: $90.00 $95.00 / Hour (USD)
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

This is an exciting opportunity within an Information Technology division. We are seeking a Big Data Engineer to join the Data Engineering team and help deliver scalable, governed, and business-aligned data products across the enterprise. The ideal candidate will have experience partnering with business stakeholders, analysts, data scientists, product owners, and technology teams to collect requirements, define business analytics needs, and translate those findings into product development and data architecture decisions. This role requires someone who can understand business processes, ask strong questions to confirm business rules, and convert requirements into reliable data pipelines, data models, and consumption-ready assets.

Key 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.

Required Skills

• Communication
• Data engineering fundamentals
• Stakeholder engagement
• SQL, Python, Snowflake, DBT
• 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.

Preferred Skills

• 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.

Education Requirements

• Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Engineering, Mathematics, or a related field.

Required Experience

• 3 years of experience in data engineering, analytics engineering, business intelligence engineering, software engineering, or a related technical role.

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

About the Client

Global Agribusiness Cooperative We are a farmer-owned cooperative focused on energy, agronomy, grains, and foods. We connect farmers and customers to empower agriculture. Join our team and cultivate a fulfilling career.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-07939 Industry: Data & Analytics

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