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Remote Data Engineer Jobs in Ballwin, MO (NOW HIRING)

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 ...

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 ...

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: Client is looking for candidates who have created ADF pipelines from scratch. Must have a strong ...

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: Client is looking for candidates who have created ADF pipelines from scratch. Must have a strong ...

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 Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

Data Engineer Manager

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Cloud Data Engineering team within Data Engineering will oversee the analysis, development, implementation, and performance of our new cloud-based data solutions. This work is reflective of a ...

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house ...

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Remote Data Engineer information

See Ballwin, MO salary details

$43.3K

$126.1K

$172.6K

How much do remote data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data engineer in Ballwin, MO is $126,139.00, 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 data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Ballwin, MO?

The most popular types of Data Engineer jobs in Ballwin, MO are:

What are popular job titles related to Remote Data Engineer jobs in Ballwin, MO?

For Remote Data Engineer jobs in Ballwin, MO, the most frequently searched job titles are:

What cities near Ballwin, MO are hiring for Remote Data Engineer jobs?

Cities near Ballwin, MO with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Ballwin, MO as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,139 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.