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Databricks Engineer Jobs in Missouri (NOW HIRING)

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform ...

Saxon Global

Data Engineer

Saint Louis, MO

$111K - $133K/yr

... engineering technologies such as Databricks, GraphQL, Snowflake, and Enterprise Data Warehousing (EDW). This role is critical in enabling advanced customer data capabilities across marketing ...

Blend360

Lead Cloud & DevOps Engineer

Saint Louis, MO · On-site +1

$51.25 - $70.25/hr

... Engineer to support the build and production readiness of a foundational AWS data platform for a ... Configure Git-based integration and deployment workflows for platforms such as Databricks or ...

Blend360

Lead Cloud & DevOps Engineer

Saint Louis, MO

$51.25 - $70.25/hr

... Engineer to support the build and production readiness of a foundational AWS data platform for a ... Configure Git-based integration and deployment workflows for platforms such as Databricks or ...

Blend360

Lead Cloud & DevOps Engineer

Saint Louis, MO

$51.25 - $70.25/hr

... Engineer to support the build and production readiness of a foundational AWS data platform for a ... Configure Git-based integration and deployment workflows for platforms such as Databricks or ...

Blend360

Lead Cloud & DevOps Engineer

Saint Louis, MO · On-site

$51.25 - $70.25/hr

... Engineer to support the build and production readiness of a foundational AWS data platform for a ... Configure Git-based integration and deployment workflows for platforms such as Databricks or ...

Kaav Inc.

Data Bricks Data engineer

Saint Charles, MO

$107K - $129K/yr

Data Engineer Location: Seattle, WA or Texas or St. Louis Experience: 10 Years Must Have Technical ... Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance.

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... Preferred Qualifications Hands-on experience with modern ML platform stacks, such as Databricks ...

Koantek

Senior AI Engineer

Chesterfield, MO · On-site

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... Preferred Qualifications • Hands-on experience with modern ML platform stacks, such as Databricks ...

MasterCard

Lead Software Engineer CC

O Fallon, MO · Hybrid

Title and Summary Lead Software Engineer Mastercard's Portfolio Intelligence program is seeking a ... Databricks / Spark); optimize data models and warehouse usage (Snowflake). • Implement CI/CD ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

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Databricks Engineer information

See Missouri salary details

$55.8K

$104.7K

$190.4K

How much do databricks engineer jobs pay per year?

As of Jun 11, 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

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.

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, and why are they important?

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 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 June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $104,711 per year, or $50.3 per hour.
Data Engineer

Data Engineer

Nimble Solutions

Chesterfield, MO • On-site, Remote

$113K - $136K/yr

Full-time

Posted 18 days ago

Job description

Job Type
Full-time
Description
Data Engineer
Chesterfield Office Hybrid or Remote
Why You'll Want to Join!
Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.
Position Overview
Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data-claims, EMR/EHR, HL7/FHIR-into actionable insights that drive revenue cycle optimization and clinical outcomes.
Why This Role Matters
Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.
Key Responsibilities
• Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake
• Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards
• Write and optimize SQL queries for performance across large healthcare datasets
• Implement data governance, quality frameworks, and HIPAA compliance controls
• Collaborate with analytics, data science, and business teams to define data requirements
• Monitor and troubleshoot data pipeline health and performance
• Develop Python or Scala code for complex transformations and data processing
• Support Power BI and analytics teams with data modeling and performance optimization
• Document data lineage, transformations, and technical architecture
Requirements
• 3+ years of professional data engineering or ETL/ELT development experience
• Expert-level SQL skills with proven optimization experience
• Proficiency in Python, Scala, or similar data processing languages
• Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)
• Understanding of healthcare data standards (HL7, FHIR, claims data structures)
• Strong grasp of data modeling, normalization, and schema design
• Experience with data versioning, CI/CD pipelines, and data quality frameworks
Preferred Qualifications
• Experience with Microsoft Fabric or Azure Data Factory
• Knowledge of HIPAA compliance and healthcare data security
• Background in healthcare, RCM, or claims processing
• Experience with dbt (data build tool) or equivalent transformation frameworks
• Exposure to dimensional modeling and data warehousing best practices
What Success Looks Like
• In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics
• In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components
• Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance

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