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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 ...

TreviPay

Product Manager - Data & Analytics

Overland Park, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with Snowflake, Databricks, Redshift, or similar cloud-based data lake/warehouse * Familiarity with SQS/SNS, RabbitMQ, or similar pub/sub messaging * Ability to create and interpret basic ...

Kiewit

Sr Integrations Engineer

Lenexa, KS · On-site

$97K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Kiewit Corporation

Software Engineer II - MCP Development

Lenexa, KS · On-site +1

$91K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

NetApp

Principal Product Manager

Wichita, KS · On-site

$228K - $325K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Databricks-style patterns on Azure), and core Azure storage/networking dependencies. * Align ANF's AI story withAzure-wide AI dataguidance and reference architectures, and feedreal customer workload ...

Kiewit

Software Engineer II - MCP Development

Lenexa, KS · On-site

$91K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Kiewit Corporation

Sr Integrations Engineer

Lenexa, KS · On-site +1

$97K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

NetApp

Principal Product Manager (WICHITA)

Wichita, KS · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Databricks-style patterns on Azure), and core Azure storage/networking dependencies. * Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer ...

CBRE

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

SQL and Python Some data engineering skills preferred including PySpark for Microsoft Fabric and Databricks Ability to work collaboratively in a team environment and communicate effectively with ...

Ethyca

Director, Mission Engineering Group

Mission, KS · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Experience at companies with structured deployment models (e.g., Palantir, Stripe, Snowflake, Databricks, or similar). Why Ethyca? Impact: Work on high‑stakes projects that directly shape ...

Booz Allen Hamilton

Salesforce Solution Architect

Beverly, KS · On-site

$59.75 - $78.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with data engineering and analytics platforms such as Databricks or Snowflake, focusing on building pipelines, performing ETL processes, and enabling enterprise-scale reporting

Associated Wholesale Grocers

Data Architect

Kansas City, KS · Hybrid

$60 - $77.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Databricks, Azure Data Lake, BLOB Storage, Synapse database or AWS RDS, Azure SQL Database). * Knowledge of programming languages (e.g., Python, Java, Scala). * Understanding of machine learning ...

Associated Wholesale Grocers, Inc.

Data Architect

Kansas City, KS · On-site

$60 - $77.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Databricks, Azure Data Lake, BLOB Storage, Synapse database or AWS RDS, Azure SQL Database). * Knowledge of programming languages (e.g., Python, Java, Scala). * Understanding of machine learning ...

Shamrock Trading Corp.

Senior Data Scientist

Overland Park, KS · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Knowledge of modern data platforms or cloud environments (Databricks, AWS, etc.) * Experience using Git and collaborative development workflows * Experience applying statistical or analytical ...

IMA Financial Group

Business Intelligence Developer

Wichita, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Databricks/Big Query/Snowflake) • Familiarity with traditional programming paradigms (OOP/Functional) • Strong analytical, organizational, and problem-solving skills • Effective communicator ...

JLL

Senior Analytics Specialist

Wichita, KS · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Advanced proficiency in SQL and data warehousing technologies (Azure Databricks preferred) * Demonstrated expertise in statistical analysis and scenario modeling * Expert knowledge of visualization ...

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Showing results 41-60

All JobsDatabricks JobsDatabricks Jobs in Kansas

Databricks information

See Kansas salary details

$21K

$33.6K

$45.5K

How much do databricks jobs pay per year?

As of Aug 18, 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 90% Full Time, 4% Part Time, 1% Temporary, and 5% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $33,635 per year, or $16.2 per hour.

Analytics Engineer II

Mariner

Overland Park, KS • On-site

$90K - $115K/yr

Full-time

Posted 5 days ago

Job description

The Analytics Engineer II builds and delivers enterprise data products that support analytical and operational reporting across Mariner. This role translates defined business requirements into scalable data models and datasets in Snowflake using SQL, dbt, and Python while contributing to data quality, governance, and AI-enabled analytics capabilities. The Analytics Engineer II partners with Data Engineering, Business Intelligence, business analysts, and other stakeholders throughout the analytics lifecycle. This opportunity offers hands-on involvement in modern data platforms, semantic-layer development, and the implementation and ongoing support of data products across the organization.
Responsibilities
  • Collaborate with business stakeholders to gather and clarify data and reporting requirements and translate them into effective data solutions.
  • Develop and maintain scalable data models and data products using dbt and Snowflake in alignment with established architecture and engineering standards.
  • Partner with Data Engineering, Business Intelligence, and business teams to design and implement data products across the analytics lifecycle.
  • Contribute to semantic-layer models, business metrics, and standardized definitions that support AI-enabled agents, workflows, and consistent analytics.
  • Apply Snowflake capabilities, including data definition language (DDL) operations, role-based access control (RBAC), SQL functions, and Snowflake Cortex, in the development and support of data products.
  • Support data quality and governance by applying data validation, security, and quality practices throughout data development and implementation.
  • Participate in code reviews, version control, testing, and continuous integration and continuous delivery (CI/CD) processes in accordance with team standards.
  • Provide clear project updates, technical documentation, and implementation status to technical and business stakeholders.
Requirements
  • 3+ years of professional experience in analytics engineering, data engineering, or business intelligence.
  • 3+ years of experience with SQL and analytical databases such as Snowflake, Databricks, SQL Server, or Azure.
  • Experience developing and maintaining data models, pipelines, and reporting datasets.
  • Experience working in Agile environments and collaborating with cross-functional teams.

Preferred qualifications include a bachelor's degree in computer science, engineering, data analytics, or a related technical field; experience in wealth management or financial services; experience with dbt for data modeling, testing, documentation, and deployment workflows; experience with Git and version control practices; understanding of extract, load, transform (ELT) and extract, transform, load (ETL) processes and tools; and exposure to semantic-layer concepts and tools.
Skills
  • Apply strong analytical, problem-solving, and data validation skills to develop reliable data solutions.
  • Communicate effectively with technical and business stakeholders, including providing clear documentation and project updates.
  • Collaborate across Data Engineering, Business Intelligence, and business teams to deliver solutions that meet defined needs.
  • Organize and coordinate work effectively across assigned projects while contributing within established engineering and delivery practices.

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