Data Engineer

Expleo•Minneapolis, MN

1d•$53 - $63•Remote

About The Position

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.

Requirements

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
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

Nice To Haves

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)

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