Data Engineer

About the Role

As a Data Engineer, you'll design, build, and maintain reliable data pipelines and systems that bring information together from multiple sources.

You'll work closely with business stakeholders, software engineers, project teams, and leadership to understand data requirements and turn them into scalable solutions. Your work will help the company make better decisions, automate reporting, improve operational efficiency, and get more value from its data.

This is an opportunity for an engineer who enjoys solving practical problems and wants to see a direct impact from the systems they build.

What You'll Do
Design, build, and maintain scalable data pipelines and ETL/ELT processes.
Collect and integrate data from internal applications, databases, APIs, and third-party systems.
Develop and maintain data warehouses and structured data models.
Write efficient SQL queries for data transformation, analysis, and reporting.
Develop data integrations between business systems and applications.
Build automated processes for data ingestion, transformation, validation, and delivery.
Monitor data pipelines and troubleshoot data quality or reliability issues.
Establish data validation and quality-control processes.
Optimize existing data workflows for performance, reliability, and scalability.
Work with software engineers to integrate data into applications and internal tools.
Collaborate with business teams to understand reporting and analytics requirements.
Support dashboards, business intelligence, and operational reporting.
Document data architecture, pipelines, processes, and technical decisions.
Help establish engineering standards and best practices for data management.
Evaluate new technologies and recommend solutions that improve the company's data capabilities.

Qualifications
1+ years of experience in data engineering, analytics engineering, software engineering, or a related technical role.
Strong proficiency with SQL.
Professional experience with Python or another programming language.
Experience building and maintaining ETL/ELT pipelines.
Experience working with relational databases such as PostgreSQL, MySQL, or SQL Server.
Understanding of data modeling and database design.
Experience working with APIs and third-party data sources.
Strong troubleshooting and problem-solving skills.
Experience using Git and modern software development practices.
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.

Preferred Qualifications
Experience with AWS, Azure, or Google Cloud.
Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
Experience with Apache Airflow or similar workflow orchestration tools.
Experience with Docker and CI/CD.
Experience building real-time or near-real-time data pipelines.
Experience with BI tools such as Power BI, Tableau, or Looker.
Experience with dbt or similar data transformation frameworks.
Experience with construction, engineering, logistics, field services, or other operational businesses.
Familiarity with ERP, CRM, project-management, or financial systems.