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Manager Data Engineering Jobs in Kansas (NOW HIRING)

We are looking for a Project Manager to lead mission-critical data center projects from inception ... Bachelor's degree in Engineering, Construction Management or related field required What We Can ...

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Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

The goal is to level up data warehousing and data management capabilities, including curated and ... Experience: 1-3 years of data engineering or related experience (Associate Analyst level). Basic ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

The goal is to level up data warehousing and data management capabilities, including curated and ... Experience: 1-3 years of data engineering or related experience (Associate Analyst level). Basic ...

Project Manager - Data Center

Overland Park, KS · On-site

$114K/yr

... hospitals, data centers, and power plants. With cooling towers, fans, and refrigeration units ... Project time schedule management between engineering, construction, and supply chain resources

Project Manager - Data Center

Overland Park, KS · On-site

$114K/yr

... hospitals, data centers, and power plants. With cooling towers, fans, and refrigeration units ... Project time schedule management between engineering, construction, and supply chain resources

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

... management capabilities. * Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience. * 3+ years of relevant data engineering experience. * Analytical thinker with ...

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

... and management capabilities. Qualifications * Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience. * 3+ years of relevant data engineering experience.

Data Engineer

Overland Park, KS · On-site

$108K - $130K/yr

... and management capabilities. Qualifications * Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience. * 3+ years of relevant data engineering experience.

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

... and management capabilities. Qualifications * Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience. * 3+ years of relevant data engineering experience.

Senior Data Architect

Harper, KS · On-site

$63.75 - $85.50/hr

Job Summary The Senior Data Architect is responsible for defining, governing, and leading the ... Manages a team of developers, assign work, coach and mentor. * Acts as a technical consultant and ...

Showing results 21-40

Manager Data Engineering information

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Kansas?

The most popular types of Data Engineering jobs in Kansas are:

What are popular job titles related to Manager Data Engineering jobs in Kansas?

For Manager Data Engineering jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Kansas look for?

The top searched job categories for Manager Data Engineering jobs in Kansas are:

What cities in Kansas are hiring for Manager Data Engineering jobs?

Cities in Kansas with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in Kansas as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

AI & Data Platform Engineering Manager

Wichita, KS • On-site

Sierra Nevada Corporation
Guided Missile and Space Vehicle Manufacturing • 5 - 10K employees

$189K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

The AI/ML Engineering Manager II leads multiple AI/ML teams or a larger engineering organization. This role provides strategic technical oversight, ensures scalable development of complex ML systems, and drives alignment between engineering efforts and mission-critical program requirements.As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

  • Lead the AI/LLM Platform and MLOps engineering team delivering the enterprise AI platform.
  • Provide deep technical guidance on LLM and generative AI architectures, including the LLM gateway, model routing, and agent/workflow orchestration.
  • Oversee integration of ML models and AI capability into enterprise systems and business platforms.
  • Establish strong validation, verification, and compliance processes.
  • Manage resourcing, budgeting, schedules, and risk mitigation.
  • Mentor senior engineers and technical leads.
  • Drive AI/LLM platform capability development and own the long-term technical roadmap for the platform.

Qualifications You Must Have:

  • Bachelor's degree in computer science, mathematics, statistics, engineering, or related STEM field.
  • 6-8+ years of experience in AI/ML or software engineering, including 2+ years in a management role.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 13 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Demonstrated success leading engineering teams and delivering complex technical programs.
  • Expertise in generative AI/LLM techniques; familiarity with supervised and unsupervised ML for data platform use cases.
  • Experience architecting and optimizing ML pipelines and highperformance systems.
  • Strong understanding of security, compliance, and data governance requirements (CMMC, data classification)
  • Ability to drive cross-functional execution across software, data, and business platform teams.
  • AWS Machine Learning Specialty, Google Professional ML Engineer, or Azure AI Engineer Associate, or equivalent hands-on experience with a major cloud AI/ML platform.
  • CMMC/NIST SP 800171 awareness or equivalent compliance training.

Qualifications We Prefer:

  • Degree in AI/ML, data science, engineering, or related discipline.
  • AWS Solutions Architect (Associate or Professional) or Azure Solutions Architect Expert.
  • Databricks ML Professional, Snowflake SnowPro, or comparable data engineering certifications.
  • Advanced Generative AI or MLOps certifications (DeepLearning.AI, NVIDIA DLI)
  • Experience with LLM gateways, vector databases, agent orchestration frameworks, or prompt evaluation tooling.
  • Experience building or operating an internal LLM gateway, model routing layer, or enterprise AI API platform

Essential Functions:

  • Lead multi-team engineering operations in a hybrid environment.
  • Participate in integration events, customer reviews, and working groups.
  • Travel up to 20% for program execution and external coordination.
  • Provide technical escalation support for complex ML challenges.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

Estimated Starting Salary Range: $189,761.74 - $260,922.39. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.

SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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