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Remote Databricks Jobs in Missouri (NOW HIRING)

Jobgether

This is a remote opportunity to shape enterprise-scale data, cloud, and AI transformation ... You'll work across Databricks, Azure, and GCP to build scalable, governed, and production-ready ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Guarantee that Databricks best practices are applied throughout all projects to maintain high ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and ... Preferred Qualifications Hands-on experience with modern ML platform stacks, such as Databricks ...

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... data platforms (Snowflake, Databricks), and data processing frameworks (Hadoop, Spark)

Jobgether

Join a fully remote engineering team building technology that helps leading organizations detect ... or Databricks is beneficial. * Familiarity with observability and monitoring platforms such as ...

Jobgether

Working within a fully remote, globally distributed team, you'll collaborate asynchronously while ... Redshift, or Databricks is an advantage. * Experience with performance profiling and cost ...

Jobgether

$106K - $143K/yr

Proficiency with SQL, Python, Tableau, Databricks, Snowflake , or comparable data analytics ... Fully remote work environment. * Full-time schedule of approximately 40 hours per week. * Medical ...

Jobgether

$97K - $132K/yr

Working knowledge of SQL and modern data platforms and technologies such as Databricks, Snowflake ... Fully remote work environment with a standard 40-hour work week . * Limited travel, generally less ...

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All JobsDatabricks JobsRemote Databricks JobsRemote Databricks Jobs in Missouri

Remote Databricks information

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are the key skills and qualifications needed to thrive as a remote Databricks engineer?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

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

The most popular types of Databricks jobs in Missouri are:

What are popular job titles related to Remote Databricks jobs in Missouri?

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

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

The top searched job categories for Remote Databricks jobs in Missouri are:

What cities in Missouri are hiring for Remote Databricks jobs?

Cities in Missouri with the most Remote Databricks job openings:

Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in Missouri as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Databricks Solution Architect-Databricks Champion

Remote

Jobgether
See more jobs at Jobgetherexternal

Full-time

Posted 10 days ago

Key responsibilities

  • Design and implement enterprise-grade data and lakehouse architectures using Databricks across complex transformation initiatives

  • Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL

  • Provide hands-on technical leadership throughout architecture, implementation, deployment, and optimization phases

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Solution Architect-Databricks Champion based in Netherlands.

This is a remote opportunity to shape enterprise-scale data, cloud, and AI transformation initiatives for leading organizations.
You will design and implement modern lakehouse architectures while solving complex data engineering and analytics challenges.
The role combines deep hands-on expertise with strategic architecture and direct client engagement.
You'll work across Databricks, Azure, and GCP to build scalable, governed, and production-ready data platforms.
The position offers exposure to sophisticated enterprise environments and high-impact transformation programs.
You'll collaborate with technical and business stakeholders to translate requirements into practical, future-ready solutions.
This is an ideal role for a Databricks specialist who enjoys architecture, delivery, and helping clients unlock the value of modern data platforms.

Accountabilities
  • Design and implement enterprise-grade data and lakehouse architectures using Databricks across complex transformation initiatives.
  • Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
  • Provide hands-on technical leadership throughout architecture, implementation, deployment, and optimization phases.
  • Establish effective data governance and security practices using capabilities such as Unity Catalog.
  • Partner directly with enterprise clients to understand business and technical requirements and translate them into robust architectural solutions.
  • Advise stakeholders on cloud, data, analytics, and AI transformation strategies while ensuring solutions are scalable, reliable, and maintainable.
  • Support infrastructure automation and deployment practices through Terraform and CI/CD pipelines.
  • Apply strong knowledge of Databricks best practices and delivery methodologies to accelerate successful client outcomes.
  • Contribute to solution design, technical documentation, implementation planning, and architectural decision-making across projects.
Requirements
  • 3-8 years of relevant professional experience in data engineering, cloud architecture, analytics consulting, or a closely related technology discipline.
  • Strong hands-on expertise with Databricks, Azure, and GCP, with demonstrated ability to design and implement enterprise data platforms.
  • Databricks Champion status or equivalent demonstrated Databricks expertise is mandatory.
  • Experience with enterprise data architecture, lakehouse architecture, and large-scale implementation projects.
  • Strong knowledge of Apache Spark, PySpark, SQL, Unity Catalog, data governance, and modern data platform practices.
  • Strong client-facing and communication skills, with the ability to explain complex technical concepts to both technical and business stakeholders.
  • Exposure to Terraform, infrastructure-as-code, CI/CD, and automated deployment practices.
  • Experience with the Databricks Professional Services Delivery Provider Program (DPP) is preferred.
  • Strong analytical and problem-solving capabilities, with the ability to work independently and manage complex technical challenges.
  • A collaborative, consultative mindset and the ability to operate effectively in fast-paced enterprise environments.
  • Candidates with a notice period of 30 days or less are preferred, with immediate availability considered an advantage.
Benefits
  • Fully remote position: Work remotely while contributing to enterprise data, cloud, and AI transformation projects.
  • High-impact consulting environment: Gain exposure to complex technology initiatives and enterprise-scale client challenges.
  • Modern technology stack: Work extensively with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity Catalog, Terraform, and CI/CD technologies.
  • Architecture ownership: Take a leading role in designing scalable lakehouse and data platform solutions.
  • Client-facing exposure: Partner directly with enterprise stakeholders and influence strategic technology decisions.
  • Professional growth: Expand your expertise across modern data, cloud, analytics, and AI transformation.
  • Fast-growing environment: Join a consulting organization operating across a rapidly evolving technology landscape.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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