Data Engineer - Information Systems
Listed on 2026-06-17
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IT/Tech
Data Engineering, Data Analyst
Data Engineer – Information Systems Job Details
Job
Final date to receive applications:
Jun 21, 2026 11:59 PM (Mountain Standard Time)
Re-Posted:
Jun 08, 2026 6:00 AM (UTC)
Starting Date:
Immediately
Employment Type:
Full-time
Position Type:
Full-Time
Mesa Public Schools is seeking a highly skilled and experienced Data Engineer. You will assume a strategic role in developing and maintaining the data infrastructure for our K-12 system. Working closely with cross-functional teams, including a Senior Research Analyst and Business Intelligence Lead, a Senior Data Engineer and other research and reporting team members, you will lead the creation and implementation of a cohesive and extensive enterprise-wide data model.
Collaborating with a diverse team of data experts and educators, you will play a pivotal role in leveraging data insights to enhance educational outcomes.
- Provide technical knowledge for major data strategies, driving the organization’s success in adopting modern data models and cloud technologies.
- Guide technical architecture for projects such as data replication, metadata management, DBaaS, data modeling and data security.
- Develop proof‑of‑concept prototypes and initial implementation models to support the vision and strategy of the district.
- Leverage SQL and development languages (e.g., Python, R) to guide the development and maintenance of data engineering pipelines, supporting modeling and analytics needs.
- Define and maintain reusable data development patterns, engineering standards, version control and data frameworks.
- Apply expert knowledge of database technology to support legacy DBMSs and design overall data platform solutions.
- Utilize knowledge and understanding of ETL/ELT processes to create and/or expand the current data model.
- Utilize a variety of technologies, including SQL, R, Python, and other relevant tools, to manage and analyze large amounts of education data.
- Implement data hygiene practices to ensure statistical efficiency, accuracy, and quality in educational data.
- Work closely with global and district‑level stakeholders, including educators, IT professionals, compliance teams, and risk management, to identify, support, and implement data‑driven projects.
- Establish relationships with IT leaders, systems leaders, data engineers, and technical specialists to advance proposed architectural solutions.
- Represent the team in architectural discussions, focusing on data aggregation, data flows, deployment strategies and governance.
- Have a passion for innovation with a test‑and‑learn mindset, ensuring the team remains adaptable to evolving educational needs.
- Embrace Agile methodologies in the development process, supporting the effective scaling of digital pilot initiatives from ideation to working pilots and deliverables.
- Collaborate with the Research and Evaluation team to build consistent, accurate and available data solutions in specialized software (e.g., PowerBI, Tableau, Excel).
- Independently define problem statements and extract user requirements for data analysis and business intelligence solutions.
- Develop and present analyses and reports using data visualization and storytelling best practices.
- Produce documentation to ensure consistency, quality and transparency across the district.
- Participate in data quality issue analysis and resolution recommendations.
- Combine data files from multiple sources efficiently and effectively to create a clean data set for analysis.
- Write custom SQL queries.
- Foster a continuous learning, professional development and growth mindset among team members.
- Maintain department procedures and policies in alignment with district, state and federal statutes and regulations.
- Prepare various reports for professional, technical, and non‑technical audiences to provide and/or convey information.
- Collaborate with senior engineer and other team members in the department to ensure accurate visualizations, data elements and consistent practices are adhered to.
- Provide training on the proper and effective use of data tools.
- Assist other personnel as may be required to support them in completing their work activities.
- Bach…
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