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Data Engineer - Information Systems

Job in Mesa, Maricopa County, Arizona, 85201, USA
Listing for: Young World Physical Education
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 73403 USD Yearly USD 73403.00 YEAR
Job Description & How to Apply Below

Data Engineer – Information Systems

Mesa, Arizona

Employment Type

Full-time

Annual Salary

$73,403.00 per year

Benefits

Vacation, sick leave, holidays, retirement matched through the Arizona State Retirement System, health and life insurance

Performance Pay

Available annually

New Hire Incentives

1% of the base hourly rate granted for each year of verified experience (within ten years) beyond the requirement, up to a ten‑year maximum

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, Business Intelligence Lead, 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 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 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 (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…
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