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DAT Freight & Analytics

Data Engineer & ETL Developer

Posted 4 Hours Ago
Hybrid
Denver, CO
105K-131K Annually
Mid level
Hybrid
Denver, CO
105K-131K Annually
Mid level
Build, test, and maintain cloud-native ELT data pipelines into Snowflake using Python and SQL. Develop dbt models, author Airflow DAGs for orchestration, implement data quality tests, monitor pipeline health, troubleshoot failures, and maintain technical documentation. Collaborate with engineers to automate and improve pipeline efficiency.
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About DAT

DAT is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably. We operate the largest marketplace of its kind in North America, with 400 million freights posted in 2022, and a database of $150 billion of annual global shipment market transaction data. Our headquarters are in Denver, CO, and Beaverton, OR, with additional offices in Seattle, WA; Springfield, MO; and Bangalore, India. For additional information, see www.DAT.com/company

 

Job Application Deadline: 03/31/2026


The Opportunity

DAT is looking for a Data Engineer/ETL Developer to join our Data Engineering team working hybrid in Denver, Colorado.

What You’ll Do

Data Pipeline Development & Engineering
  • 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 (data build tool) for data cleaning, aggregation, and transformation and utilize the Snowflake data warehouse.
  • SQL Development: Write, optimize, and review complex SQL queries for data manipulation, transformation, and performance tuning on Snowflake.
  • Python Scripting: Utilize Python to build custom data extraction scripts, implement monitoring tools, and contribute to general automation efforts.
Workflow Orchestration and Automation
  • Airflow DAGs: Learn to author, schedule, and monitor data workflows defined as Directed Acyclic Graphs (DAGs) in Apache Airflow.
  • Pipeline Scheduling: Integrate and orchestrate dbt runs and other pipeline tasks within Airflow to manage dependencies and execution timing.
  • Automation: Focus on automating repetitive tasks across the data lifecycle, reducing manual effort and improving pipeline efficiency.
Data Quality, Testing, and Monitoring
    • Data Quality: Implement data validation and testing frameworks using features of dbt (e.g., uniqueness, non-null checks) to ensure high data quality and accuracy within Snowflake data marts.
    • Troubleshooting: Monitor data pipeline health, troubleshoot failed Airflow tasks and dbt runs, and quickly resolve data flow issues.
    • Documentation: Maintain clear and current technical documentation for data models, Airflow DAGs, and pipeline logic.

Key Technologies We Use

  • Data Warehouse: Snowflake
  • Transformation: dbt (data build tool)
  • Orchestration: Apache Airflow
  • Programming: Python, SQL

The Skills and Experience You’ll Bring

  • Experience: 3-5 years of professional experience in a Data Engineering, Analytics Engineering, or similar technical role (including relevant internship experience).
  • Education: Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related quantitative field.
  • Technical Proficiency:
    • Required: 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 tools, specifically dbt.
    • Basic experience creating or running jobs/workflows using an orchestration tool like Apache Airflow.
  • Soft Skills: Strong problem-solving abilities, excellent attention to detail, and a proactive, collaborative approach to teamwork.

Why DAT?
DAT is an award winning employer of choice.

For starters, we have a hybrid work environment, but we also know what makes a great workplace. We have a time-tested and resolute set of operating values predicated on integrity, mutual respect, open communication, and executing with excellence. These values inform our strategic vision as much as any one of our products does. We’ve been an employer of choice in the Portland metropolitan area for four decades, and within one year of opening our Denver office, DAT was #26 on Built In Colorado’s 100 Best Places to Work In Colorado.

  • Medical, Dental, Vision, Life, and AD&D insurance
  • Parental Leave
  • Flexible Vacation Time (FVT)
  • An additional 10 holidays of paid time off per calendar year
  • 401k matching (immediately vested)
  • Employee Stock Purchase Plan
  • Short- and Long-term disability sick leave
  • Flexible Spending Accounts
  • Health Savings Accounts
  • Employee Assistance Program
  • Additional programs - Employee Referral, Internal Recognition, and Wellness
  • Free TriMet transit pass (Beaverton Office)
  • Competitive salary and benefits package
  • Work on 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

*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 $105,000.00 - $131,000.00 + target bonus. DAT considers factors such as scope and responsibilities of the position, candidate's work experience, education and training, core skills, internal equity, and market and business elements when extending an offer.

 

 

DAT embraces the value of a diverse workforce, and believes it is a core strength of our company that we encourage those values in every DAT employee, at every level of our organization, regardless of tenure or rank. We provide 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.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

#LI-RF1

#LI-hybrid

Top Skills

Apache Airflow
Dbt
Python
Snowflake
SQL

DAT Freight & Analytics Denver, Colorado, USA Office

We're in a brand new LEED Gold building at the entrance to the DTC. Floor-to-ceiling glass, breathtaking views. Check it out at 50fiftydtc.com.

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