Remote Data Engineer: Build Scalable Pipelines & Insights

Paylocity; Delafield, Northern (WI, KY); Hybrid; USD 100,000 - 150,000; Full time

Job summary

Evans Transportation is seeking a Data Engineer to design, build, and maintain data pipelines powering analytics and decision-making. You will own pipelines moving data from source systems to clean, well-modeled datasets used by analysts, data scientists, and business teams.

Responsibilities include modeling data in warehouses, integrating diverse data sources, ensuring data quality, and collaborating with cross-functional teams to deliver usable data products.

Qualifications

• 3+ years of experience in data engineering or related role.
• Strong proficiency in SQL and programming knowledge (.NET and Python).
• Solid data modeling, warehousing concepts, and distributed data systems understanding.
• Good problem-solving skills and focus on data quality.

Responsibilities

• Design, build, and maintain scalable data pipelines (ETL/ELT).
• Model and structure data in warehouses and lakehouses for analytics.
• Integrate data from databases, APIs, third-party platforms, and event streams.
• Ensure data quality, reliability, and observability through testing and monitoring.
• Optimize pipeline performance and manage cost and scalability.
• Implement data governance, security, and access control best practices.
• Collaborate with analysts, data scientists, and engineers to deliver usable data products.
• Document data flows, schemas, and processes for maintainability.
• Perform all other duties as assigned.

Skills

SQL

.NET

Python

Data modeling

Warehousing concepts

Distributed data systems

Data quality

Problem-solving

Tools

Airflow

Dagster

dbt

Azure

Terraform

Docker

Git

Job description

Evans Transportation is seeking a Data Engineer to design, build, and maintain data pipelines powering analytics and decision-making. You will own pipelines moving data from source systems to clean, well-modeled datasets used by analysts, data scientists, and business teams.

Responsibilities include modeling data in warehouses, integrating diverse data sources, ensuring data quality, and collaborating with cross-functional teams to deliver usable data products.