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Data Engineer - Information Systems
Job in
Mesa, Maricopa County, Arizona, 85205, USA
Listed on 2026-08-05
Listing for:
Mesa Public Schools
Full Time
position Listed on 2026-08-05
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst
Job Description & How to Apply Below
* East Valley Tribune names Mesa Public Schools as Best Place to Work in East Valley for multiple years.
Employment Type:
Full-time
Base Salary:
$73,403.00
Class/Calendar:
D61-IS, 12 months
Benefits:
Vacation, sick leave, holidays, retirement matched through the Arizona State Retirement System, health, and life insurance
Performance Pay:
Available annually
New Hire
Experience:
1% of the base hourly rate granted for each year of verified like experience (within ten years) beyond the requirement, up to a ten-year maximum
New Hire
Education:
1% of the base hourly rate awarded for an AA or higher degree if not required for the position
Job Summary:
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.
Key Responsibilities:
Technical Expertise and Cloud Adoption
* 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 your deep understanding of SQL and knowledge of 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.
Database Technology and Platform Designs
* 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.
Collaboration and Stakeholder Engagement
* 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.
Team Membership
* 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.
Agile Development and Delivery
* Embrace Agile methodologies in the development process, supporting the effective scaling of digital pilot initiatives from ideation to working pilots and deliverables.
Other Responsibilities
* Collaborate with Research and Evaluation team to build consistent, accurate and available data solutions in specialized software (i.e. PowerBI, Tableau, Excel, etc)
* 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…
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