Hiring: Manager, Data Engineering Company: Casey's Location: Des Moines Metropolitan Area Job Posted Time: 2026-09-15 14:37:40 Employment Type: On-site Target Skills & Keywords : Azure, Data Lake, Data Pipeline, Databricks, ELT, ETL, Machine Learning, Python, SQL, Snowflake, Spark About the job Required Skills: •Lead a high-performing team of Data Engineers responsible for building, maintaining, and supporting enterprise data products and datasets that enable business intelligence, analytics, data science, and AI initiatives. Responsible for hiring, coaching, performance management, career development, and succession planning of direct reports. •Create strong partnerships with business stakeholders, Product Owners, Data Scientists, and Analysts to define priorities and deliver high-value data solutions aligned to business outcomes. Partner closely with Product to co-own the data product roadmap, ensuring Engineering and Product operate as a unified, outcome focused delivery team. •Strategically drive design and implementation of scalable data pipelines, data models, and reusable data products. •Establish and promote data engineering best practices related to data quality, performance, security, and operational excellence. •Leverage AI-assisted engineering practices and emerging technologies to accelerate delivery, improve solution quality, and enhance team productivity. •Ensure data products are reliable, trusted, and well-documented through appropriate testing, monitoring, governance, and support processes. •Lead efforts to optimize data platform performance, scalability, reliability, and cost efficiency. •Define team goals and roadmaps that align with organizational priorities while ensuring work is appropriately prioritized across business and technology stakeholders. 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. •In-depth knowledge of data architecture, data modeling, data integration, and modern data engineering practices. •Strong leadership, communication, organizational, analytical, and problem-solving skills. •Demonstrated ability to translate business requirements into scalable technical solutions and drive execution through delivery. Compensation: •Competitive benefits and rewards package •Other factors impacting pay include local prevailing wages and internal equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!