Data Engineer

Evans Transportation Services LLC • Delafield, WI

1d • Hybrid

About The Position

Under the direction of the Manager, Data & Analytics, this role will be the Data Engineer responsible for designing, building, and maintaining the data infrastructure that powers analytics, reporting, and data-driven decision-making across Evans Transportation. This position owns the pipelines that move and transform data from source systems into clean, reliable, well-modeled datasets that analysts, data scientists, and business teams depend on.

Requirements

• 3+ years of experience in data engineering or a closely related role.
• Strong proficiency in SQL.
• Some programming knowledge, preferably .NET and Python.
• Solid understanding of data modeling, dimensional modeling, warehousing concepts, and distributed data systems.
• Strong problem-solving skills and attention to data quality and correctness.
• Hands-on experience with a cloud data warehouse and/or lakehouse platform.
• Experience building pipelines with orchestration tools (e.g., Airflow, Dagster, or dbt for transformations).
• Familiarity with a major cloud provider, preferably Azure.

Nice To Haves

• Exposure to data governance, lineage, or catalog tools.
• Experience supporting machine learning or analytics teams in production.
• Infrastructure-as-code and CI/CD experience (Terraform, Docker, Git-based workflows).
• Azure resource implementation with a working understanding of networking and security fundamentals, including virtual networks, private endpoints, firewall and IP rules, and managed identities.
• Experience with Microsoft Fabric and OneLake.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT).
• Model and structure data in warehouses and lakehouses to support reporting and analytics use cases.
• Integrate data from a wide range of sources: databases, APIs, third-party platforms, and event streams.
• Ensure data quality, reliability, and observability through testing, monitoring, and alerting.
• Optimize pipeline and query performance and manage cost and scalability of data systems.
• Implement and enforce data governance, security, and access-control best practices.
• Collaborate with analysts, data scientists, and software engineers to understand requirements and deliver usable data products.
• Document data flows, schemas, and processes to keep the platform maintainable.
• Perform all other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed