Data Engineer: Remote-friendly Pipelines & Warehouses

Evans Transportation Services, Inc; Wisconsin; Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Hybrid work flexibility

Job summary

Evans Transportation Services, Inc. is seeking a Data Engineer to design, build, and maintain data pipelines powering analytics across the organization. You will own the data movement from source systems into clean, well-modeled datasets used by analysts, data scientists, and business teams.

The role emphasizes SQL proficiency, Python/.NET familiarity, data modeling, and cloud data warehouse experience. Hybrid/remote flexibility is available for the ideal candidate.

Qualifications

• 3+ years of experience in data engineering or closely related role.
• Strong proficiency in SQL and 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.

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 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.

Skills

SQL

Python

C#/.NET

Data modeling

Warehousing

Distributed systems

Problem solving

Tools

Airflow

Dagster

dbt

Azure

Terraform

Docker

Git

Microsoft Fabric

OneLake

Job description

Evans Transportation Services, Inc. is seeking a Data Engineer to design, build, and maintain data pipelines powering analytics across the organization. You will own the data movement from source systems into clean, well-modeled datasets used by analysts, data scientists, and business teams.

The role emphasizes SQL proficiency, Python/.NET familiarity, data modeling, and cloud data warehouse experience. Hybrid/remote flexibility is available for the ideal candidate.