Hiring: Data Engineering Manager Company: Husch Blackwell Location: Kansas City, MO Job Posted Time: 2026-09-10 14:19:40 Employment Type: Full-time / Hybrid Target Skills & Keywords : AWS, Azure, Python, SQL About the job Experience: •5 years of experience leading data engineering or closely related technical teams, including responsibility for setting direction, standards, and priorities. Required Skills: •The will lead the design and build-out of the firm’s cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality data is available for analytics, reporting, applications, and AI. •They will architect core systems to collect, consolidate, and organize data efficiently, making it accessible and well-documented for downstream teams to use in various tools and workflows. Qualifications: •Bachelor’s degree in computer science, engineering, information systems, or related field, or equivalent industry experience; graduate degree preferred. •At least 3–5 years of experience leading data engineering or closely related technical teams, including responsibility for setting direction, standards, and priorities. •In-depth knowledge of modern data engineering practices, including data ingestion, consolidation, transformation, and organization to support analytics and AI. •Extensive experience with data management and data transformation, including performance, reliability, and scalability considerations. •Advanced SQL experience and strong understanding of how to design and optimize data structures in relational and other data storage technologies. •Solid functional working knowledge of Python and common data tooling, with sufficient depth to review designs and solutions produced by engineers and to engage effectively with Data Science & AI teams. •Demonstrated experience collaborating with data scientists, analysts, and AI practitioners, and understanding how engineering choices affect downstream analytics and AI work. •Broad familiarity with data visualization, reporting, and application needs so that data platforms are designed with end to end use in mind, even when this role does not own the final experiences. •Extensive experience with software development life cycle and software engineering best practices, including version control, testing, deployment, monitoring, and secure handling of data. •Demonstrated capacity to define and implement data and platform standards, and to guide teams in adopting consistent, high quality engineering practices. Compensation: •$121,000 - $215,000 / year 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!