Data Engineer
EXPLEO LLC
Minneapolis, United States of America
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
$ 131KJob location
Remote
Minneapolis, United States of America
Tech stack
Data analysis
Azure
Business Intelligence
Big Data
Data Architecture
Data Validation
Information Engineering
ETL
Data Transformation
Data Security
Data Systems
Document-Oriented Databases
Python
Performance Tuning
Role-Based Access Control
Power BI
SQL Databases
Freeform SQL
Data Storage Technologies
GIT
Microsoft Fabric
Data Lake
Information Technology
Real Time Data
Data Management
Data Delivery
Data Pipelines
Job description
- Meaningful Impact - Support healthcare research and innovation by delivering trusted, high-quality data
- Technical Depth - Work hands-on with modern data architectures, ETL pipelines, and large-scale datasets
- Cross-Functional Collaboration - Partner with data scientists, BI developers, software engineers, and governance teams
- Stability with Growth - Long-term contract with exposure to enterprise-scale data platforms and best practices
Your Role & Responsibilities
- Assemble large, complex datasets that meet functional and non-functional business requirements
- Design, build, and optimize scalable data pipelines for ingestion, transformation, and delivery
- Write, troubleshoot, and optimize complex SQL queries across multiple joins and data sources
- Perform deep data analysis and investigations to explain results and provide actionable recommendations
- Apply strong data modeling principles to support analytics and reporting use cases
- Implement and support ETL/ELT processes, including validation and data quality checks
- Monitor, profile, and improve data quality through periodic reviews and root-cause analysis
- Track and document data lineage to ensure traceability and transparency
- Collaborate with BI, analytics, and governance teams to ensure consistent, trusted data delivery
- Identify opportunities to enhance existing data solutions and recommend improvements
- Research new data sources and contribute to ongoing data quality and governance initiatives
Requirements
Do you have experience in Python?, Do you have a Associate's degree?, * 3-5+ years of hands-on experience in data engineering or related roles
- Strong proficiency in SQL, including complex joins, unions, and performance tuning
- Strong proficiency in Python for data transformation and pipeline development
- Experience building and maintaining scalable ETL/ELT pipelines
- Solid understanding of data transformations (cleaning, shaping, aggregating, preparing data)
- Experience working with large, disconnected datasets
- Strong analytical and problem-solving skills with a focus on data accuracy and reliability
- Ability to manage multiple priorities and contribute to concurrent projects
Bonus Points If You Have
- Experience with Delta Lake or modern data storage formats
- Familiarity with Medallion Architecture (Bronze / Silver / Gold layers)
- Experience supporting reporting and analytics (Power BI preferred)
- Exposure to Microsoft Fabric
- Experience with data catalog or lineage tools (Purview or similar)
- Familiarity with CI/CD pipelines (Azure DevOps, Git)
- Basic exposure to streaming or real-time data ingestion Understanding of data security concepts and role-based access control (RBAC)
Education & Certifications You Need
-
Bachelor's degree in Computer Science or Engineering from an accredited institution OR
-
Associate's degree in Computer Science or Engineering with at least 2 years of relevant experience
Benefits & conditions
2.92.9 out of 5 stars Minneapolis, MN 55401 Remote $53 - $63 an hour - Full-time, Contract, Pulled from the full job description
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Health savings account
- Dental insurance
- Disability insurance, At Trissential, we believe in rewarding expertise while giving you flexibility and support throughout your engagement.
- Competitive Compensation -$53-$63 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 Exposure - Gain experience within a highly respected healthcare and research organization
- Supportive Team Environment - Work alongside experienced data, analytics, and engineering professionals
About the company
Are you a Data Engineer who thrives on turning complex, disconnected data into reliable, scalable solutions? Trissential is hiring a Data Engineer to join our client's Next Gen Data Architecture team within a world-class healthcare and research environment. This is a high-impact opportunity where your work directly supports analytics, reporting, and data-driven decision-making across the organization.
If you enjoy building robust data pipelines, improving data quality, and collaborating across engineering, analytics, and governance teams-this role was built for you.