Senior Data Engineer
Minneapolis, 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.Overview
Location: Remote First (Minneapolis, MN, with occasional travel to client offices)Employment Type: Full-Time Consultant
Are you a seasoned Data Engineer ready to architect complex, scalable data solutions? Trissential is looking for a Senior Data Engineer to join our client’s team and take charge of transforming financial data into high-performing Snowflake models in AWS. You’ll lead the technical buildout of ELT pipelines, drive automation, and enforce engineering excellence in a highly regulated financial environment.
What’s in It for You?
- Impactful Work – Build the data backbone that powers critical reporting, analytics, and downstream applications
- Technical Ownership – Lead the architecture and development of performant, secure Snowflake-based solutions
- Team Collaboration – Work alongside experienced engineers, analysts, and business SMEs who value mentorship and knowledge sharing
Your Role & Responsibilities
- Ingest and transform complex financial data into structured Snowflake tables and views
- Design and optimize physical data models for performance, cost efficiency, and traceability
- Build, schedule, and monitor ELT workflows using tools like dbt, Airflow, or Prefect
- Implement automated data validation and reconciliation for audit-ready pipelines
- Leverage Snowflake features (streams, tasks, Snowpark, resource monitors) to optimize performance
- Define and uphold coding standards, version control, and CI/CD best practices
- Document technical processes and share knowledge with the broader engineering team
- Collaborate with data modelers, analytics teams, and SMEs to ensure domain alignment
- Mentor junior engineers and advocate for continuous improvement and data governance
Skills & Experience You Should Possess
- 8+ years of data engineering experience, including recent work in cloud data warehouse environments
- Deep expertise in Snowflake architecture, performance tuning, and security controls
- Advanced SQL and Python skills for building efficient, maintainable pipelines
- Demonstrated success delivering data solutions in regulated industries like finance
- Hands-on experience with orchestration tools such as dbt, Airflow, or Prefect
- Proficiency with Git, automated testing, and CI/CD workflows
- Strong ability to translate conceptual models into scalable physical implementations
Bonus Points If You Have
- SnowPro Core or Advanced certification
- Experience with infrastructure-as-code (Terraform or CloudFormation)
- Familiarity with BI platforms like Tableau or Power BI
- Knowledge of dimensional modeling or data vault methodologies
Education & Certifications You Need
- Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent experience)
- SnowPro Core/Advanced certification preferred but not required
What We Offer
At Trissential, we connect talented technologists with innovative companies. As a Senior Data Engineer on our client’s team, you’ll enjoy:
- Hourly Compensation Only – Up to $90 per hour, based on skills and experience
- Remote-First Flexibility – Work primarily from home, with occasional onsite collaboration in Minneapolis
- Challenging, High-Impact Work – Help architect and deliver secure, scalable data solutions in a financial setting
- A Culture of Engineering Excellence – Contribute to standards, mentorship, and platform growth
This role is open only to candidates authorized to work in the US.
Ready to design and build world-class data infrastructure with real business impact? Apply now and become the driving force behind data engineering excellence with Trissential. #LI-RM1 #LI-VN1 #LI-MN1
Tags: Airflow Architecture AWS CI/CD CloudFormation Computer Science Data governance Data warehouse dbt ELT Engineering Finance Git Pipelines Power BI Python Security Snowflake SQL Tableau Terraform Testing
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