Data Engineer

About the role

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. The 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.

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.

Minimum qualifications

• 3+ years of experience in data engineering or a 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 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.

Preferred qualifications

• 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 understanding of networking and security fundamentals, including virtual networks, private endpoints, firewall and IP rules, and managed identities.
• Experience with Microsoft Fabric and OneLake.

Physical and mental demands

While performing the duties of this job, the employee must be able to continuously sit, use a keyboard, calculator, and telephone. Occasionally required to stand, walk, stoop, and/or kneel, and to lift and/or move up to 10 pounds while moving files or small packages. Specific vision abilities required include close vision and the ability to adjust focus. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Work environment

Work is performed in an office environment, with hybrid/remote flexibility available for the ideal candidate. The noise level is usually moderate.