ENGINEER, DATA

Location: Denver, CO, United States

** Applications will be received until September 15, 2026. If the position is not filled by then, we may consider applications submitted after the deadline. Interested applicants must apply online by visiting the Denver Public Schools job board at careers.dpsk12.org. **

 

About this job:

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and data solutions that support reporting, analytics, and operational needs across the organization. This role works closely with business partners, analysts, and technical teams to ensure data is reliable, accessible, well-structured, and delivered efficiently.

The position will develop and support modern cloud-based data platforms using technologies including Snowflake, dbt, Apache Airflow, and AWS. Responsibilities include building and maintaining data ingestion and transformation processes, developing reusable data models, orchestrating data workflows, monitoring data quality and pipeline performance, and supporting the ongoing modernization of the organization’s data environment.

The ideal candidate brings strong SQL and Python skills, experience working in cloud-based data environments, and an understanding of modern data engineering practices, including ELT/ETL development, data modeling, version control, testing, automation, and documentation. This individual should be able to work independently while collaborating effectively with technical and non-technical stakeholders to translate business needs into sustainable data solutions.

 

What DPS Offers You:

• A Culture that values Equity, Accountability, Integrity, Collaboration and Fun with a shared vision that Every Student Will Succeed.
• Salary Range: $109,416 - $134,013. Click here for more information on compensation for these roles. 
• In addition to competitive compensation, DPS has other Total Reward offerings such as; time off, health and wellness benefits, and PERA Retirement. 

 

What You'll Do:

• Prototype data solutions to enable warehousing, event-driven data capture, and data modeling.
• Implement solutions using Extract Load Transform (ELT/ETL) and/or combinations of automation tools.
• Collaborate with data teams to develop reusable data solution patterns to enable quick to market data assets.
• Analyze & profile business data in structured and unstructured formats.
• Design and implement conceptual and logical data models, create metadata definitions, and create a source-to-target mapping.
• Evaluate tools and emerging technologies within the data ecosystem to push innovation.
• Collaborate with data owners, functional teams, and data consumers to understand the end-to-end intention of data use.
• Optimize data performance throughout the ELT process.
• Demonstrate Students First, Integrity, Equity, Collaboration, Accountability, and Fun in all interactions with team members, other DPS employees and external partners.

 

What You’ll Need:

•  High school diploma or equivalent required.
• Master’s Degree in a quantitative discipline preferred. 
• Minimum of three (3) years of experience working with SQL, Python, and cloud-based data environments.
• Valid Colorado Driver’s License, appropriate insurance coverage and acceptable driving record for the past three years.
• Effective time management and organizational skills.
• The ability to take responsibility for one’s own performance.
• Works collaboratively with others on a team.
• High degree of integrity in handling confidential information.
• Aptitude for variety and changing expectations in a fast-paced environment.
• Ability to work in a multi-ethnic and multicultural environment with district and school leaders, faculty, staff and students.
• Experience working within a cloud based data infrastructure.
• Advanced proficiency in developing SQL queries. 
• Effective communication skills.
• Analytical problem solver with strong attention to detail.
• Experience with or ability to quickly learn new tools and technologies including dbt, Snowflake, Airflow, AWS S3.
• Lead for racial and educational excellence and work to dismantle systems of oppression and inequity in our community, along with believing in and supporting all students so they feel seen and heard with access to high quality education. 
• Live and work with a permanent home address in Colorado while working with us.
• Have the ability with or without accommodations to meet the physical demands of the position.

 

Denver Public Schools is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender expression, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or any other status protected by law or regulations. It is our intention that all qualified applicants be given equal opportunity and that selection decisions be based on job-related factors.

 

About Us

Denver Public Schools is committed to meeting the educational needs of every student with great schools in every neighborhood. Our goal is to provide every child in Denver with rigorous, enriching educational opportunities from preschool through high school graduation. DPS is comprised of nearly 200 schools including traditional, magnet, charter and alternative pathways schools, with an enrollment of more than 90,000 students.

DPS has become the fastest-growing school district in the country in terms of enrollment and the fastest-growing large school district in the state in terms of student academic growth. Learn more at dpsk12.org.
The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and data solutions that support reporting, analytics, and operational needs across the organization. This role works closely with business partners, analysts, and technical teams to ensure data is reliable, accessible, well-structured, and delivered efficiently. The position will develop and support modern cloud-based data platforms using technologies including Snowflake, dbt, Apache Airflow, and AWS. Responsibilities include building and maintaining data ingestion and transformation processes, developing reusable data models, orchestrating data workflows, monitoring data quality and pipeline performance, and supporting the ongoing modernization of the organization’s data environment.