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Data Engineer Manager Jobs in Kansas (NOW HIRING)

QTS Realty Trust, Inc.

Analytics Engineer III

Overland Park, KS · On-site

$113K - $135K/yr

The Analytics Engineer III role is responsible for bridging the gap between, data miners, product managers, and other Data Science & Engineering teams, and mentoring junior members of the analytics ...

New

Miamioh

BI ETL Data Developer II or III

Hoyt, KS

Ability to manage multiple priorities and adapt to changing requirements in a dynamic environment ... BI ETL Data Developer III * Ability to design scalable, maintainable, and efficient data solutions ...

MalaceHR

Operating Engineer-Data Center

Topeka, KS · On-site

Data Center Operating Engineer Work Schedule : Friday Through Tuesday 3:30 pm to 11:30 pm with ... Familiarity with building automation systems, power management systems and fire/life safety.

Adler Pelzer Group

Engineering Manager

Eudora, KS

$115K - $130K/yr

The Engineering Manager plans utilization of facilities, equipment, materials, and personnel to ... Establish work measurement programs and analyze data for the development of standards and labor ...

Adler Pelzer USA

Engineering Manager

Eudora, KS · On-site

$115K - $130K/yr

The Engineering Manager plans utilization of facilities, equipment, materials, and personnel to ... Establish work measurement programs and analyze data for the development of standards and labor ...

WireCo WorldGroup

IT Data Manager

Leawood, KS · On-site

Working closely with Information Technology, Manufacturing, Supply Chain, Finance, Engineering, Commercial, and Business Process Owners (BPOs), the IT Data Manager develops processes that improve ...

New

WireCo WorldGroup

IT Data Manager

Leawood, KS · On-site

Working closely with Information Technology, Manufacturing, Supply Chain, Finance, Engineering, Commercial, and Business Process Owners (BPOs), the IT Data Manager develops processes that improve ...

New

Finite State

Use production data to detect issues early, predict and prevent failures, and drive continuous ... engineering management experience leading teams of 5-15+ engineers * Proven track record of ...

Amgen

Sr. Data Scientist - Process Modeling

Wichita, KS · On-site

... support engineering teams across our network, ensuring state-of-the-art data insights to drive ... Change management to integrate tech transfer digital applications into product teams * Development ...

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All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Kansas

Data Engineer Manager information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do data engineer manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data engineer manager in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 per year, depending on experience, location, and employer.

What are some typical challenges a Data Engineer Manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What engineers make 200,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $200,000 or more annually, especially in high-demand industries or large organizations. These roles typically require advanced skills in data architecture, cloud platforms, and leadership, along with several years of experience.

What engineers make 300,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $300,000 or more annually, especially in high-cost-of-living areas or within large tech companies. These roles typically require advanced skills in cloud platforms, data architecture, and leadership, along with extensive industry experience and relevant certifications.

What does a data engineer manager do?

A data engineer manager oversees teams responsible for designing, building, and maintaining data pipelines and infrastructure. They coordinate data collection, storage, and processing efforts, often using tools like SQL, Hadoop, or Spark, and ensure data quality and security while aligning projects with organizational goals.

What are the key skills and qualifications needed to thrive in the Data Engineer Manager position, and why are they important?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a Data Engineer Manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, performance bonuses, and stock options in large organizations or tech companies.
What are the most commonly searched types of Data Engineer jobs in Kansas? The most popular types of Data Engineer jobs in Kansas are:
What are popular job titles related to Data Engineer Manager jobs in Kansas? For Data Engineer Manager jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Kansas look for? The top searched job categories for Data Engineer Manager jobs in Kansas are:
What cities in Kansas are hiring for Data Engineer Manager jobs? Cities in Kansas with the most Data Engineer Manager job openings:
Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.
AI Data Strategy Engineer / Applied Scientist, LLM Data

AI Data Strategy Engineer / Applied Scientist, LLM Data

Propio Language Services

Overland Park, KS • On-site

Full-time

Posted 7 days ago

New

Job description

Job Type
Full-time
Description
Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to cutting-edge technology, exceptional support, and collaborative user experiences. We are driven by our passion for innovation, growth, and bridging communication gaps in a diverse world. If you're passionate about delivering technology-driven solutions and building lasting client relationships while contributing to client growth, Propio could be the ideal place for you.
We are building AI-powered systems that enhance multilingual communication, improve interpreter workflows, and support next-generation AI applications across text, speech, and multimodal experiences.
Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI systems.
This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post-training data, to directly improve model performance.
The ideal candidate can build scalable data pipelines, design high-quality annotation and QA processes, identify model failure modes, and close performance gaps through targeted data acquisition, curation, and synthetic data generation.
Key Responsibilities:
  • Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.
  • Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.
  • Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.
  • Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.
  • Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.
  • Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.

Requirements
  • Bachelor's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience.
  • 4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows.
  • Strong hands-on experience with Python, SQL, and dataset curation pipelines.
  • Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes.
  • Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets.
  • Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS.
  • Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors.

Preferred Qualifications
  • Master's or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field.
  • Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation.
  • Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring.
  • Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.

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