ZipRecruiter

Log In

2

Remote Databricks Data Engineer Jobs in Saint Louis, MO

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 ...

Booz Allen Hamilton, Inc.

$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 ...

Kobie Marketing

Sr. Data Engineer

Saint Louis, MO · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Kobie Marketing

Sr. Data Engineer

Saint Louis, MO · Remote

$103K - $140K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

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 ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Software Engineer (Azure Cloud, Data Engineering & Automation) | Hybrid - St. Louis, MO We are ... driven workflow (shell, remote access and debugging) on macOS or Linux. Preferred Skills ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Software Engineer (Azure Cloud, Data Engineering & Automation) | Hybrid - St. Louis, MO We are ... driven workflow (shell, remote access and debugging) on macOS or Linux. Preferred Skills ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Software Engineer (Azure Cloud, Data Engineering & Automation) | Hybrid - St. Louis, MO We are ... Working environment: comfortable in a CLI-driven workflow (shell, remote access and debugging) on ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Software Engineer (Azure Cloud, Data Engineering & Automation) | Hybrid - St. Louis, MO We are ... Working environment: comfortable in a CLI-driven workflow (shell, remote access and debugging) on ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Software Engineer (Azure Cloud, Data Engineering & Automation) | Hybrid - St. Louis, MO We are ... Working environment: comfortable in a CLI-driven workflow (shell, remote access and debugging) on ...

next page

Showing results 1-20

All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Saint Louis, MO

Remote Databricks Data Engineer information

See Saint Louis, MO salary details

$43.3K

$126.1K

$172.6K

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

As of Aug 11, 2026, the average yearly pay for remote databricks data engineer in Saint 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 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 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 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 Saint Louis, MO? The most popular types of Databricks Data Engineer jobs in Saint Louis, MO are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Saint Louis, MO? For Remote Databricks Data Engineer jobs in Saint Louis, MO, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Saint Louis, MO look for? The top searched job categories for Remote Databricks Data Engineer jobs in Saint Louis, MO are:
What cities near Saint Louis, MO are hiring for Remote Databricks Data Engineer jobs? Cities near Saint 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 Saint Louis, MO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 8% Hybrid, and 92% Remote job distribution, with an average salary of $126,114 per year, or $60.6 per hour.

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • Remote

$113K - $136K/yr

Contractor

Re-posted 15 days ago

Job description

Location: United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.

The impact you will have: Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications. Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation. Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.

Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority. Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation. Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements Minimum qualifications: Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience: 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP). Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects Develop scalable streaming and batch solutions using cloud-native components.

Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows. Technical Skills: Expert-level proficiency in Spark Scala, Python, and PySpark.

In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.

Databricks Specific Skills: Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration. Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.

Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities. Good to have Certifications: Certification in Databricks Engineering (Professional) Microsoft Certified: Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified Solutions Architect Professional.

Apply