Data Engineer & ETL Developer

DAT is an award‑winning employer of choice and a next‑generation SaaS technology company at the leading edge of transportation supply chain logistics for 45 years. We transform the industry year over year, deploying a suite of software solutions to millions of customers every day. Our headquarters are in Denver, CO and Beaverton, OR, with additional offices in Seattle, WA;
Springfield, MO; and Bangalore, India.
Job Final date to receive applications: 03/31/2026

Data Engineer/ETL Developer – Data Engineering team, hybrid in Denver, Colorado.

• ELT Process Implementation: Assist senior engineers in designing, building, testing, and maintaining cloud‑native ELT (Extract, Load, Transform) data pipelines, ensuring data is reliably loaded into Snowflake
  .
• Transformation with dbt: Develop and maintain data models using dbt for data cleaning, aggregation, and transformation in Snowflake
  .
• SQL Development: Write, optimize, and review complex SQL queries for data manipulation, transformation, and performance tuning on Snowflake
  .
• Python Scripting: Build custom data extraction scripts, implement monitoring tools, and contribute to automation.
• Airflow DAGs: Author, schedule, and monitor data workflows defined as Directed Acyclic Graphs in Apache Airflow
  .
• Pipeline Scheduling: Integrate and orchestrate dbt runs and other tasks within Airflow.
• Automation: Automate repetitive tasks across the data lifecycle to improve efficiency.
• Data Quality: Implement data validation and testing using dbt features (uniqueness, non‑null checks) to ensure high quality within Snowflake data marts.
• Troubleshooting: Monitor pipeline health, troubleshoot failed tasks, and resolve data flow issues.
• Documentation: Maintain clear technical documentation for data models, Airflow DAGs, and pipeline logic.

• Data Warehouse:
  Snowflake
• Transformation:
  dbt
• Orchestration:
  Apache Airflow
• Programming:
  Python
  , SQL

• Experience: 3‑5 years in Data Engineering, Analytics Engineering, or similar roles (internship experience included).
• Education: Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field.
• Technical Proficiency:
  • Strong proficiency in Python and advanced knowledge of SQL
    .
  • Hands‑on experience with a cloud data warehouse, preferably Snowflake
    .
  • Familiarity with data transformation concepts and dbt
    .
  • Basic experience creating or running workflows in Apache Airflow
    .
• Soft Skills: Strong problem‑solving abilities, excellent attention to detail, proactive and collaborative teamwork.

• Medical, Dental, Vision, Life, and AD&D insurance
• Parental leave
• Flexible vacation time (FVT)
• 10 holidays of paid time off per calendar year
• 401(k) matching (immediately vested)
• Employee Stock Purchase Plan
• Short‑ and long‑term disability sick leave
• Flexible Spending Accounts
• Health Savings Accounts
• Employee Assistance Program
• Employee Referral, Internal Recognition, and Wellness programs
• Free Tri Met transit pass (Beaverton Office)
• Competitive salary and benefits package
• Impactful projects in a cutting‑edge environment
• Collaborative and supportive team culture
• Opportunity to make a real difference in the trucking industry
• Employee Resource Groups

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

DAT embraces a diverse workforce and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran, in accordance with applicable federal, state, and local laws.

* This position is not eligible for visa sponsorship.

For Colorado‑based candidates, in compliance with the Colorado Equal Pay for Equal Work Act, the salary range for this role is $ – $ + target bonus. DAT considers factors such as scope and responsibilities, candidate’s experience, education, core skills, internal equity, and market and business elements when extending an offer.