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Databricks Engineer Jobs in Missouri (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics ... Guarantee that Databricks best practices are applied throughout all projects to maintain high ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics ... Guarantee that Databricks best practices are applied throughout all projects to maintain high ...

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across ...

Perficient

Databricks Solutions Architect

Saint Louis, MO · On-site

$59 - $77.75/hr

Our team of strategists, designers, technologists, and engineers partners with the world's most ... Perficient currently has a career opportunity for a Databricks Solutions Architect to join our team ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Missouri

Databricks Engineer information

See Missouri salary details

$55.8K

$104.7K

$190.4K

How much do databricks engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for databricks engineer in Missouri is $104,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $124,300.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

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

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

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

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

What cities in Missouri are hiring for Databricks Engineer jobs?

Cities in Missouri with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Missouri as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $104,711 per year, or $50.3 per hour.

Principal Data Engineer / Databricks

TECHNOLOGY PARTNERS INC

Wildwood, MO • On-site

$96 - $138/hr

Other

Posted 6 days ago

Job description

Technology Partners is currently seeking a talented Principal Data Engineer. Do you have experience designing and implementing complex data architectures using Databricks and Azure cloud ecosystem? Let us help you make your next big career move a reality!

What You Will Be Doing:

As a Principal Data Engineer within our Data Organization, you will serve as one of the most senior technical contributors and a near-expert practitioner in data engineering. You will craft and lead the development of high-scale, performance-critical data pipelines and platforms, primarily leveraging Databricks and Azure. You will embed into multiple engineering teams to unblock and accelerate delivery, while mentoring engineers at various levels to raise technical standards. You will also influence architectural and engineering principles, ensuring alignment with best practices and enterprise standards. Your efforts will help shape our data platform's evolution through deep technical execution and strategic collaboration.

Key Responsibilities:
  • Design and implement end-to-end data architectures covering ingestion, storage, transformation, and governance using Lakehouse patterns on Databricks and Azure.
  • Write, review, and optimize production code to ensure performance, security, reliability, and cost efficiency.
  • Help define and evolve engineering and architectural standards, patterns, and reference implementations across the data organization.
  • Mentor and coach data engineers at all levels by conducting code reviews, pair programming, and design sessions.
  • Embed into cross-functional Data Engineering teams to lead or accelerate critical projects while transferring expertise and best practices.
  • Analyze and address technical risks, design flaws, and execution gaps, providing clear remediation strategies.
  • Collaborate with Enterprise Architecture and other stakeholders to ensure solutions meet security, governance, scalability, and cost standards.
  • Lead internal technical talks and knowledge-sharing efforts to enhance team-wide expertise.
Required Skills & Experience:
  • 3-5+ years of practical data engineering experience with a focus on scalable, enterprise-grade data platforms and pipelines.
  • Near-expert proficiency with Databricks, Spark, Delta Lake, Unity Catalog, and the Azure data ecosystem.
  • Demonstrated ability to design and implement comprehensive data architectures for complex business environments.
  • Proven experience mentoring engineers, influencing teams through technical influence, and setting high standards for engineering excellence.
  • Familiarity with modern data architecture patterns such as Lakehouse, medallion, and data mesh, along with DataOps practices.
  • Bachelor’s degree or equivalent practical experience.
  • High School Diploma or equivalent and a valid Driver’s License.
Desired Skills & Experience:
  • Experience contributing across multiple teams as a technical leader or senior contributor.
  • Knowledge of advanced cloud data technologies and platform evolution strategies.
  • Exposure to enterprise data governance and security standards.
  • Additional industry experience in large-scale data environments or related fields.
Pay:

$70.00 – $100.00 /hr

Keywords: Databricks, Azure Data Ecosystem, Spark, Delta Lake, Data Architecture, Data Engineering, DataOps, Lakehouse, Data Mesh, Cloud Data Platforms

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to provide sponsorship at this time or accept candidates who would require a corp-to-corp agreement.

All offers of employment at Technology Partners are contingent upon clear results of a thorough background check and drug screening that meet corresponding laws and regulations at the city, state and federal level.

Pay ranges are influenced by candidate qualifications, experience, and role specifics, with the actual rate determined considering skills, market conditions, and are subject to change by the employer; pay negotiations follow all state and federal legal guidelines.

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