Remote Data Engineer for Analytics Pipelines

Evans Transportation Services LLC; Delafield (WI); Hybrid; USD 90,000 - 130,000; Full time

Job summary

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

Hybrid/remote-friendly environment in Wisconsin, with a focus on scalable batch and streaming ETL/ELT pipelines, data warehousing, governance, and

Qualifications

• 3 years of experience in data engineering or a closely related role.

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.

Skills

SQL

.NET

Python

Data modeling

Data warehousing

Problem-solving

Tools

Airflow

Dagster

dbt

Azure

Terraform

Docker

Git

Microsoft Fabric

OneLake

Job description

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

Hybrid/remote-friendly environment in Wisconsin, with a focus on scalable batch and streaming ETL/ELT pipelines, data warehousing, governance, and