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Databricks Engineer Jobs in Missouri (NOW HIRING)

Jobtailor

Data Engineer - Growth

California, MO · On-site

$102K - $123K/yr

* Design, build, and own scalable Spark/Databricks data pipelines for ad bidding and paid acquisition ... Partner with Growth, Marketing, Analytics Engineering, and Data Science to translate business ...

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Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI * DevOps for data ...

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Data Engineer

Kansas City, MO

$111K - $134K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Cacheflow

Staff Security Field Engineer

California, MO · On-site

$194K - $267K/yr

Reporting to the Head of Security Field Engineering, you will meet with customers to answer questions, train other Databricks team members, build customer-facing content such as slide decks, white ...

ZipStaff Inc.

Lead AI Platform Engineer

Saint Louis, MO · On-site

$60 - $62/hr

Lead AI Platform Engineer Location: St. Louis, MO (On-site) Employment Type: Contract (Only W2 ... Hands-on experience with Databricks. * Hands-on experience with LangGraph or similar agent ...

Armaninollp

Data & AI Platform Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

UnitedHealth Group

Senior Software Engineer

Bridgeton, MO · Remote

$116K - $153K/yr

Position Summary As a Sr. Software Engineer on the MCDS (Multi Channel Claim Distribution Platform ... Databricks notebooks, Azure Service Bus, Azure SQL Managed Instance (SQL MI), and Delta Lake ...

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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 Sep 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 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 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $104,711 per year, or $50.3 per hour.

Data Engineer - Growth

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

$102K - $123K/yr

Other

Posted 7 days ago

Job description

  • Design, build, and own scalable Spark/Databricks data pipelines for ad bidding and paid acquisition optimization across Google, Meta, and LinkedIn
  • Build and maintain feature and training datasets for bid optimization, budget allocation, and audience-targeting machine learning models
  • Help productionize machine learning models with Data Science
  • Develop measurement, attribution, and experimentation data layers for web and landing-page optimization
  • Model growth and marketing data into clean, documented, reusable tables for analysts and data scientists
  • Own data quality, freshness, and reliability for growth-critical datasets through automated checks, monitoring, and alerting
  • Partner with Growth, Marketing, Analytics Engineering, and Data Science to translate business questions into robust data models and trustworthy metrics
  • Improve the performance, cost efficiency, and developer experience of the growth data platform
  • Own growth-critical systems end-to-end and influence the roadmap
Requirements
  • 3+ years of experience building and operating production data pipelines and data platforms
  • Experience with growth, marketing, or experimentation use cases is ideal
  • Highly proficient in SQL and Python
  • Deep hands-on experience in Spark and a modern lakehouse or cloud data warehouse, such as Databricks, Delta Lake, dbt, Snowflake, or similar
  • Experience supporting machine learning workflows end-to-end, including feature pipelines and training and inference datasets
  • Strong data-modeling and warehouse-design skills
  • Rigorous approach to data quality and observability
  • Experience with workflow orchestration and CI/CD for data, such as Databricks Workflows or Airflow with Git-based deployment
  • Comfortable using AI-assisted development tools like Claude Code or Codex
  • Ability to communicate clearly and collaborate across Growth, Marketing, Analytics Engineering, and Data Science
  • Ability to translate ambiguous growth questions into reliable, scalable data products
  • Self-starting problem-solving approach, first-principles thinking, priority management across multiple projects, and ability to thrive in a fast-paced, results-driven environment
Core Competencies

Demonstrates expertise in building and operating scalable data pipelines using Spark and Databricks, with a strong focus on data quality, machine learning workflows, and collaboration across growth and marketing teams.

Highest-signal resume keywords
  • SQL Proficiency
  • Python Proficiency
  • Spark Experience
  • Databricks Expertise
  • Data Modeling Skills
Hard Skills
  • Data Pipeline Development
  • Machine Learning Support
  • Data Quality Assurance
  • Workflow Orchestration
  • CI/CD for Data
Soft Skills
  • Clear Communication
  • Collaboration
  • Problem-Solving
  • Priority Management
Industry Keywords
  • Growth Marketing
  • Experimentation
  • Data Observability
  • Attribution
  • Data Warehouse Design
Tools & Technologies
  • Databricks
  • Delta Lake
  • Dbt
  • Snowflake
  • Airflow
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