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Databricks Jobs in Kansas (NOW HIRING)

Mariner

Analytics Engineer II

Overland Park, KS · On-site

$90K - $115K/yr

... Databricks, SQL Server, or Azure. * Experience developing and maintaining data models, pipelines, and reporting datasets. * Experience working in Agile environments and collaborating with cross ...

Nordic

SQL, Databricks * Understanding of machine learning operations * Attention to detail * Ability to work with technical and non-technical stakeholders * Requirements translation * Agile work process

Guida's Dairy

Sr. Data Engineer - AI

Kansas City, KS · On-site

$110K - $132K/yr

Proficiency with data engineering languages, platforms, and orchestration tools such as Python, SQL, PySpark, Snowflake, Databricks, and Apache Airflow * Experience developing or supporting modern ...

Kiewit Corporation

Sr Integrations Engineer

Lenexa, KS · On-site +1

$97K - $131K/yr

Databricks * Snowflake * Internal business applications * Azure services * Assist in defining and implementing MCP best practices. * Support secure context delivery to AI agents. Testing & Quality

Dairiconcepts, L.P.

Sr. Data Engineer - AI

Kansas City, KS

$110K - $132K/yr

Proficiency with data engineering languages, platforms, and orchestration tools such as Python, SQL, PySpark, Snowflake, Databricks, and Apache Airflow * Experience developing or supporting modern ...

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Databricks information

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$21K

$33.6K

$45.5K

How much do databricks jobs pay per year?

As of Sep 7, 2026, the average yearly pay for databricks in Kansas is $33,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,900.00 and $37,000.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

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

The most popular types of Databricks jobs in Kansas are:

What are popular job titles related to Databricks jobs in Kansas?

For Databricks jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Kansas look for?

The top searched job categories for Databricks jobs in Kansas are:

What cities in Kansas are hiring for Databricks jobs?

Cities in Kansas with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Kansas as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $33,635 per year, or $16.2 per hour.

Sr. Director, AI (AI Business Lead)

Dairiconcepts, L.P.

Kansas City, KS

Full-time

Posted 9 days ago

Job description

Lead DFA's enterprise AI capability, owning the portfolio strategy and roadmap for AI initiatives and ensuring alignment with business goals, responsible AI practices, and measurable value. Identify and prioritize high-impact AI use cases across business units and guide products from ideation through adoption. Deploy practical, governed AI capabilities that accelerate insights, planning, and decisions. Partner with the Enterprise AI Architect, who provides technical direction, and the AI Business Relationship Manager, who coordinates execution within DFA's IT function. Build and develop the talent and enablement model needed to scale AI across the Cooperative.

Duties and Responsibilities:

  • Define and evolve the enterprise AI portfolio strategy and roadmap, aligned to business priorities and measurable value
  • Identify, prioritize and manage a healthy pipeline of high-impact AI use cases across business units, from ideation through adoption and retirement
  • Own AI product prioritization, balancing innovation with model retraining, technical debt, and compliance
  • Embed responsible AI principles into product decisions and the full AI lifecycle
  • Partner with the Enterprise AI Architect on technical direction, reusable AI assets, and standards without owning architecture
  • Partner with the AI Business Relationship Manager on directing execution, translating priorities into plans, milestones, and delivery cadences while retaining outcome ownership
  • Act as a primary liaison among business leaders, technical teams, and governance bodies; translate needs into requirements and success metrics
  • Define and monitor KPIs tied to business outcomes; lead continuous improvement based on performance data and user feedback
  • Partner with legal, risk, compliance, and enterprise AI governance to meet regulatory standards and support responsible AI reviews and risk assessments
  • Partner with IT on driving AI enablement and adoption-building literacy, training, and a culture of responsible AI use; lead, coach, and develop professional DFA team members as a means of building AI champions across the Cooperative
  • The requirements herein are intended to describe the general nature and level of work performed by employee, but is not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as required
  • Undergraduate degree in business, data science, computer science, or related curriculum (or equivalent combination of education and experience); advanced degree preferred
  • 5+ years of progressive experience in business, data, or technology-driven roles, with people management experience that includes leading teams through direct and indirect management
  • Proven experience managing cross-functional teams and enterprise-scale AI or technology initiatives
  • Food, agriculture, consumer products, or manufacturing experience preferred
  • Certification and/or License - may be required during course of employment
  • Advanced understanding of the AI/ML lifecycle, responsible AI, and enterprise AI product management
  • Proficient knowledge of data and AI platforms (Snowflake, Databricks, Copilot, Azure) and cloud architectures, with fluency to evaluate tradeoffs without being the architect
  • Skill in prioritizing AI use cases by value, risk, and readiness
  • Able to translate business needs into product requirements, success metrics, and measurable outcomes
  • Familiarity with agile methodologies, backlog management, and roadmap planning
  • Knowledge of AI regulatory and risk frameworks (e.g., NIST, ISO) and compliance
  • Able to influence and negotiate with business leaders and external partners
  • Outstanding communicator in both internal and external settings
  • Must be able to read, write and speak English
  • Able to travel 15-25% of the time

An Equal Opportunity Employer including Disabled/Veterans

Dairiconcepts logo

About Dairiconcepts

Sourced by ZipRecruiter

DairiConcepts, based in Springfield, Missouri, US, is a leader in the food industry, particularly in the dairy sector. Officially hosted at dfaingredients.com, the company was established as a joint venture between Dairy Farmers of America (DFA) and Fonterra in 2000, later becoming wholly owned by DFA in 2016. Specializing in the production of elevated dairy ingredients and cheese and dairy flavors, DairiConcepts is known for supplying custom-developed products to food industry customers throughout the globe. In line with their mission, the company prides itself on innovation, customer focus, and professionalism, continually striving to ensure quality and safety while developing new and delicious dairy products for the market.

Industry

Food and drink manufacturing

Company size

201 - 500 Employees

Headquarters location

Springfield, MO, US

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