Data Engineer (Cloud & Analytics)

Expleo • Rochester, MN

20h • Hybrid

About The Position

Overview
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

Requirements

• 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
• Bachelor’s degree in Computer Science, Engineering, or a related fieldOR
• Associate’s degree in Computer Science or Engineering with 2+ years of relevant experience

Nice To Haves

• 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)

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees