Wichita Public Schools

Education

DataEngineer

$75–105k ~AI est. Wichita, Kansas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer at Wichita Public Schools. Skills: Data Engineering, Data Architecture, Microsoft Azure, SQL Server. Design data pipelines. Develop data pipelines”

Industry & Context.

Education
Problems you'll solve

Diagnose issues; Resolve issues

Eligibility Requirements

Limited travel, Respond rapidly to issues outside work hours, Lifting under 30 pounds

What They're Looking For.

Must Have

3-5 years of experience in data engineering, Hands-on experience with Microsoft Azure data services, Hands-on experience with SQL Server, Hands-on experience with BI solutions, Bachelor's degree in Computer Science, Bachelor's degree in Data Engineering, Bachelor's degree in Information Systems

Nice to Have

Advanced degree preferred, Public education environment experience a plus, Microsoft Certified: Azure Data Engineer Associate, Similar Azure/SQL certifications preferred

What You'll Do.

Design data pipelines

Develop data pipelines

Maintain data pipelines

Implement data validation

Implement data cleansing

Implement data transformation

Ensure data consistency

Monitor data pipelines

Troubleshoot data pipelines

Architect data structures

Optimize data structures

Design relational models

Design dimensional models

Design snowflake schemas

Implement data governance

Implement data security

Implement data lifecycle management

Enforce data standards

Enforce naming conventions

Document data processes

Implement DataOps practices

Manage data environments

Introduce DevOps practices

Leverage scripts for deployment

Leverage templates for deployment

Use modern deployment strategies

Provide structured datasets

Align architectural decisions

Communicate technical concepts

Communicate project updates

How You'll Work.

Team & Collaboration

Cross-functional teams; District IT teams; Other departments; Data Analysts; Director of Assessment & Research

Communication Scope

Written communication; Verbal communication; Convey complex ideas

Process & Methodology

Version control, CI/CD, Deployment strategies

Full Job Description

Job Title: Data Engineer Position Function: The Data Engineer & Architect plays a critical role in designing, building, and maintaining the district's data infrastructure. As the key technical expert bridging the gap between the district's data analysts and leadership, this position ensures that all data pipelines, transformations, and integrations are optimized for reliability, security, and compliance with FERPA/HIPAA. The Data Engineer & Architect will leverage Microsoft-based solutions (e.g., Azure Data Factory, SQL Server, Power BI ecosystem) to drive scalable, automated data workflows that support Wichita Public Schools' strategic vision and shared beliefs. Essential Performance Responsibilities: Data Pipeline Development & Management Design, develop, and maintain ETL/ELT workflows using Microsoft tools (e.g., Azure Data Factory, SSIS) to ingest and transform data from diverse sources (Oracle, on-premises systems, cloud services). Implement data validation, cleansing, and transformation processes to ensure high levels of data quality, accuracy, and consistency. Monitor and troubleshoot data pipelines, proactively addressing bottlenecks or failures to maintain seamless, reliable operations. Data Architecture & Modeling Architect and optimize data structures, including relational (star, snowflake) and dimensional models, within Microsoft SQL Server, Azure Synapse, or similar platforms. Develop and maintain logical and physical data models that align with district needs for analytics, compliance, and reporting. Collaborate with Data Analysts and the Director of Assessment & Research to ensure data structures effectively support key metrics, dashboards, and advanced analytics projects. Data Governance & Compliance Collaborate with the Information Services and Technology personnel to implement best practices for data governance, security, and lifecycle management. Ensure all data engineering processes adhere to FERPA, HIPAA, and district data privacy guidelines. As

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