Data Engineering Manager — AI & Platform Leader

Casey's; Ankeny (IA); On-site; USD 125,100 - 174,100; Full time

Benefits offered by this job

401k matching

Paid time off

Onsite cafeteria

Volunteer time

Onsite Child Development Center

Job summary

Casey’s is seeking a Manager, Data Engineering to drive the strategy, delivery, and reliability of enterprise data products across the organization. You will lead a team of data engineers delivering data products for analytics, AI, and business insights.

This role requires strong technical leadership, collaboration with product and business partners, and a passion for turning data into business value. The position focuses on enterprise datasets including Guest, Store, and Product data assets.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Engineering, Mathematics, or related field, or equivalent work experience.
• Seven (7)+ years of progressive experience developing and delivering enterprise data, analytics, or engineering solutions.
• Three (3)+ years of experience leading and developing technical teams.
• Experience managing teams responsible for data engineering, analytics engineering, business intelligence, or enterprise data platforms.
• Strong understanding of data architecture, data modeling, data integration, and modern data engineering practices.
• Experience building and supporting cloud-based data platforms and enterprise-scale data solutions.
• Strong leadership, communication, organizational, analytical, and problem-solving skills.
• Familiarity with data observability, metadata management, and data catalog solutions.

Responsibilities

• Lead a high-performing team of Data Engineers responsible for building, maintaining, and supporting enterprise data products and datasets.
• Define priorities with stakeholders and deliver high-value data solutions aligned to business outcomes.
• Partner with Product to co-own the data product roadmap and ensure delivery as a unified team.
• Drive the design and implementation of scalable data pipelines, data models, and reusable data products.
• Promote data engineering best practices for data quality, performance, security, and governance.
• Leverage AI-assisted engineering practices to accelerate delivery and improve quality.
• Ensure data products are reliable, well-documented, and monitored.
• Lead efforts to optimize data platform performance, scalability, and cost efficiency.
• Set team goals and roadmaps aligned with organizational priorities.
• Champion data product thinking with defined ownership and SLAs.

Skills

Data architecture

Data modeling

Data integration

Leadership

Communication

Analytics

Education

Bachelor's degree in CS/IT/Analytics/Engineering

Tools

Databricks

Azure Data Lake Storage

Azure Data Factory

Microsoft Fabric

Snowflake

Power BI

Tableau

Looker

Spark

SQL

Python

Job description

Casey’s is seeking a Manager, Data Engineering to drive the strategy, delivery, and reliability of enterprise data products across the organization. You will lead a team of data engineers delivering data products for analytics, AI, and business insights.

This role requires strong technical leadership, collaboration with product and business partners, and a passion for turning data into business value. The position focuses on enterprise datasets including Guest, Store, and Product data assets.