Location: Hybrid – Rochester, Minnesota
Employment Type: Full Time
Build Data Platforms That Power Real Impact
Are you a Data Engineer who thrives at the intersection of cloud, analytics, and real-world business impact? Trissential is partnering with a leading client in Rochester, MN to bring on a skilled Data Engineer who’s passionate about building scalable, high-quality data solutions across modern cloud platforms.
In this role, you’ll work hands-on with GCP, Azure, and Microsoft Fabric, designing and supporting data pipelines that enable analytics, AI, and smarter decision-making across the organization. If you enjoy solving complex data challenges and collaborating with cross-functional teams, this opportunity is built for you.
What’s In It for You?
- High-Impact Work – Design and support data platforms that directly enable analytics, AI, and enterprise decision-making
- Modern Cloud Stack – Work across GCP, Azure, BigQuery, Microsoft Fabric, and Terraform
- Engineering Ownership – Influence data architecture, performance optimization, and data quality initiatives
- Collaborative Environment – Partner with engineers, analysts, product teams, and data scientists
- Growth-Oriented Role – Expand your expertise in cloud data engineering, automation, and near real-time pipelines
Your Role & Responsibilities
- Assemble and optimize large, complex datasets that meet functional and non-functional business requirements
- Design, build, and maintain batch and near–real-time data pipelines for structured and unstructured data
- Write, optimize, and troubleshoot advanced SQL queries for data mining and analytics use cases
- Develop and maintain data transformations using SQL and Python
- Support data ingestion, integration, messaging, CI/CD, and processing services in cloud environments
- Apply data modeling best practices and optimize cloud data warehouses (e.g., partitioning and clustering in BigQuery)
- Use Infrastructure as Code (Terraform) to support automated provisioning and configuration
- Perform data profiling, quality checks, root cause analysis, and continuous improvement initiatives
- Implement monitoring, logging, and alerting for data pipelines and platforms
- Collaborate in an iterative, product-focused environment with engineers, analysts, and stakeholders
Skills & Experience You Should Possess
- Strong experience with SQL and complex query development across large datasets
- Hands-on experience with Python for data processing and transformations
- Experience building and supporting data pipelines in Google Cloud Platform (GCP)
- Solid understanding of ETL concepts, data modeling, and data quality practices
- Experience supporting cloud-based analytics or data platforms
- Strong analytical mindset with the ability to translate business requirements into data solutions
- Ability to manage multiple priorities and contribute to concurrent projects
Bonus Points If You Have
- Experience with Microsoft Azure and/or Microsoft Fabric
- Hands-on use of Terraform or other IaC tools
- Experience with BigQuery performance tuning (partitioning, clustering)
- Background supporting analytics, AI, or data science workloads
- Familiarity with data profiling or exploration tools (Rapid SQL, AQT, Informatica, Information Analyzer)
Education & Certifications You Need
- Bachelor’s degree in Computer Science, Engineering, or a related field
OR - Associate’s degree in Computer Science or Engineering with 2+ years of relevant experience
(No certifications required)
What We Offer
At Trissential, we believe in flexibility, transparency, and rewarding great talent. When you join our client’s team through Trissential, you’ll enjoy:
- Competitive Compensation – $94.62 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
- Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
- Paid Time Off –Offers paid time away from work
- Career Growth & Learning – Exposure to modern cloud platforms and enterprise-scale data initiatives
- Collaborative Team Culture – Work with professionals who value quality, innovation, and continuous improvement
This role is only open to candidates authorized to work in the United States.
Ready to Build What’s Next?
If you’re excited about shaping cloud-based data platforms and working on meaningful, enterprise-scale initiatives, we’d love to hear from you.
Apply today and take the next step in your Data Engineering career with Trissential.
