Data Engineer – GCP

Rochester, MN, United States

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Expleo

Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation.

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Overview

Location: Remote (Rochester, MN)

Employment Type: Full-Time Consultant

 

Are you passionate about building scalable data pipelines and enabling machine learning solutions? Trissential is hiring a Data Engineer to join our client’s high-impact team. This is your chance to work on cutting-edge GCP technologies, drive innovation, and make a real difference in how data powers decisions.

 

What’s in It for You?

  • Innovative Projects– Work on advanced analytics and machine learning initiatives that drive real-world impact
  • Modern Tech Stack– Leverage the latest in GCP, Terraform, Python, and more
  • Collaborative Culture– Join a team that values knowledge sharing, mentorship, and continuous learning
  • Career Growth– Opportunities to expand your skills and grow into leadership roles

Your Role & Responsibilities

  • Design, build, and deploy scalable data pipelines and integrations to support analytics and ML applications
  • Implement ETL/ELT best practices, data governance, and data quality standards
  • Collaborate with product owners and analytics teams to identify data needs and deliver actionable insights
  • Perform data modeling and transformation on large datasets for optimal performance
  • Automate manual processes and drive continuous improvement using standard frameworks
  • Document functional and technical specifications for data solutions
  • Mentor junior engineers and contribute to team knowledge sharing
  • Stay current with emerging technologies and recommend enhancements

Skills & Experience You Should Possess

  • 5+ years of hands-on experience in data engineering or related roles
  • 3+ years building and maintaining automated data pipelines (batch and/or streaming)
  • Strong programming skills in SQLand Python
  • Advanced experience with GCPtools such as:
  • BigQueryDataflowDataProcData FusionChange Data Stream
  • Cloud FunctionsCloud ComposerCloud Events
  • Terraform for infrastructure as code
  • Experience with data quality, governance, and performance optimization

Bonus Points If You Have

  • Experience working in Agile product teams
  • Familiarity with machine learning workflows and model deployment
  • Prior consulting or cross-functional stakeholder engagement experience

Education & Certifications You Need

  • Bachelor’s degree in Computer Science, Information Technology, or a related field
  • OR equivalent experience (5+ years in data engineering)
  • GCP Certification(required)

What We Offer

At Trissential, we believe in rewarding talent and supporting your success:

  • Competitive Salary– You choose the model that works best for you, both with company-sponsored benefits! Up to $122,000 annually or $69 per hour, based on skills and experience
  • 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– Both compensation models offer paid time away from work
  • Remote Work– 100% remote with equipment provided
  • Career Development– Access to training, certifications, and mentorship

This role is only open to candidates authorized to work in the U.S. at this time.

 

Ready to Build the Future of Data?

If you're excited about working with cutting-edge cloud technologies and making a real impact, we want to hear from you. Apply now and join Trissential in transforming data into action! #LI-RM1 #LI-VN1 #LI-MN1

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Category: Engineering Jobs

Tags: Agile BigQuery Computer Science Consulting Dataflow Data governance Data pipelines Dataproc Data quality ELT Engineering ETL GCP Machine Learning Model deployment Pipelines Python SQL Streaming Terraform

Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Startup environment Team events

Regions: Remote/Anywhere North America
Country: United States

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