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Remote Databricks Data Engineer Jobs in St Louis, MO

3B Staffing LLC

Data Engineer - Databricks

Saint Louis, MO · Remote

$111K - $133K/yr

Data Engineer - Databricks 6-Month Contract-to-Hire REMOTE (Local to St. Louis would be a big bonus) Must be GC Holder or US Citizen The managers expressed they need a hyper technical hammer! They do ...

3B Staffing LLC

Data Engineer - Databricks

Saint Louis, MO · Remote

$111K - $133K/yr

Data Engineer - Databricks 6-Month Contract-to-Hire REMOTE (Local to St. Louis would be a big bonus) Must be GC Holder or US Citizen The managers expressed they need a hyper technical hammer! They do ...

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 ...

3B Staffing LLC

Data Engineer

Saint Louis, MO · Remote

$111K - $133K/yr

LinkedIn Must needed Direct line phone no must needed - Data Engineer (EDW) - - Remote - n/a 12/26 ... Databricks * Python (PySpark) - new, required Technologies listed in Job Desc are relevant. Strong ...

3B Staffing LLC

Data Engineer

Saint Louis, MO · Remote

$111K - $133K/yr

LinkedIn Must needed Direct line phone no must needed - Data Engineer (EDW) - - Remote - n/a 12/26 ... Databricks * Python (PySpark) - new, required Technologies listed in Job Desc are relevant. Strong ...

Booz Allen Hamilton, Inc.

Data Engineer

O Fallon, IL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245880 Location: O'Fallon,IL,US Share job via: Share Data Engineer ... Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS ...

Leidos

Software Engineering & AI Intern

Shiloh, IL · Remote

This role is primarily remote, with mandatory, periodic on-site requirements at either Scott AFB ... You will work with high-volume data, engineer real-time pipelines using technologies such as Kafka ...

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 ...

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 ... Data Factory (ADF), Databricks notebooks, Azure Service Bus, Azure SQL Managed Instance (SQL MI ...

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in St. Louis, MO

Remote Databricks Data Engineer information

See St Louis, MO salary details

$43.3K

$126.1K

$172.6K

How much do remote databricks data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote databricks data engineer in St. Louis, MO is $126,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What are the most commonly searched types of Databricks Data Engineer jobs in St. Louis, MO?

The most popular types of Databricks Data Engineer jobs in St. Louis, MO are:

What are popular job titles related to Remote Databricks Data Engineer jobs in St. Louis, MO?

For Remote Databricks Data Engineer jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in St. Louis, MO look for?

The top searched job categories for Remote Databricks Data Engineer jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Remote Databricks Data Engineer jobs?

Cities near St. Louis, MO with the most Remote Databricks Data Engineer job openings:

Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in St. Louis, MO as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,114 per year, or $60.6 per hour.

Data Engineer - Databricks

3B Staffing LLC

Saint Louis, MO • Remote

$111K - $133K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer - Databricks

6-Month Contract-to-Hire

REMOTE (Local to St. Louis would be a big bonus)

Must be GC Holder or US Citizen

The managers expressed they need a hyper technical hammer! They do not need to have an executive presence, but instead they need to be strong technically.

They will do a live python coding assessment during the interview. It will be an hour long panel style with their client.

If local, great! But fully remote is totally fine. If they have healthcare experience that would be a plus. Majority of this team has come from Express Scripts which would also be a plus! Targeting a mid to sr level. Focusing on Databricks. They are building out this new team and bringing databricks to the org!

Overview
This is a contract opportunity to join a newly formed data engineering team building a modern Databricks platform from the ground up. The client is not looking for someone to maintain legacy ETL jobs-they want engineers who can build reusable frameworks and think like platform engineers.
Must-Haves

  • Strong, hands-on Databricks experience
  • Solid Python programming skills
  • Experience building ETL/ELT pipelines
  • Strong SQL
  • Experience with modern cloud data platforms
  • Able to explain architecture and technical decisions clearly

Preferred Experience

  • Unity Catalog
  • Medallion Architecture (Bronze, Silver, Gold)
  • Data governance (lineage, security, audit logging)
  • Healthcare or other regulated industries

What the Hiring Team Wants

  • Engineers who build reusable frameworks-not one-off pipelines
  • Strong software engineering fundamentals
  • Someone who understands why Databricks is used, not just how to click through it
  • Curious, coachable, and excited about AI and modern data engineering
  • Comfortable talking through their thought process during technical interviews

JOB DESCRIPTION:

We are seeking a Data Engineer to join a team building a modern, cloud-native data platform using Databricks. This is a greenfield opportunity to help transform a legacy, file-based environment into a scalable, automated, and well-governed data ecosystem. Rather than maintaining existing systems, you'll help build reusable frameworks, modern architecture, and platform capabilities that support analytics, AI, and future business initiatives.

Responsibilities

  • Design, develop, and optimize scalable data pipelines using Databricks, Python, and SQL.
  • Build reusable ETL/ELT frameworks and automation rather than one-off data pipelines.
  • Design solutions following the Medallion Architecture (Bronze, Silver, Gold) to support reliable and scalable data processing.
  • Implement data governance best practices using Unity Catalog, including security, lineage, and access controls.
  • Modernize legacy file-based and batch processing into cloud-native solutions.
  • Collaborate with technical teams on platform architecture, engineering standards, and best practices.

Required Qualifications

  • Hands-on experience with Databricks.
  • Strong Python programming skills.
  • Experience developing scalable ETL/ELT pipelines.
  • Strong SQL and data modeling experience.
  • Experience working with modern cloud data platforms.
  • Understanding of data architecture and software engineering best practices.
  • Strong communication skills with the ability to explain technical decisions and collaborate effectively.

Preferred Qualifications

  • Experience with Unity Catalog and data governance.
  • Experience implementing Medallion Architecture.
  • Experience building reusable frameworks, accelerators, or shared engineering components.
  • Background in healthcare or other regulated industries.
  • Interest in AI, automation, and modern data engineering practices.

Apply