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

Data Engineer-US

Columbia, MO · On-site +1

$109K - $130K/yr

We are seeking a Senior Data Engineer to design, implement, and maintain scalable data pipelines ... Columbia, MO (Hybrid - 1 week in office, 1 week remote) Experience: 4+ years Schedule: Full-time, ...

Senior Software Engineer

Columbia, MO · Remote

$116K - $153K/yr

This position is fully remote. We are looking for a Senior Software Engineer to help us continue to build the next evolution of our data and AI platform in a scalable, performant and customer-centric ...

We're hiring an Analytics Engineer to support our Corporate Headquarters in Columbia, MO and we're ... This position is fully remote. Primary Responsibilities * Develop and manage data pipelines using ...

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Senior Pega Developer

Columbia, MO · Remote

$130K - $139K/yr

Remote Citizenship: Must be a US Citizen or Permanent Resident Security Clearance: USDA Public ... Experience with Pega class structure design across Work, Data, and Integration layers. * Experience ...

Senior Financial Systems Analyst

Columbia, MO · Remote

$81K - $101K/yr

This position is fully remote. The Senior Financial Systems Analyst to support Procure-to-Pay (P2P ... Use Python, AI, or automation tools where appropriate to improve data validation, document review ...

Python Tutor

Columbia, MO · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

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Showing results 1-20

Remote Data Engineer information

See Columbia, MO salary details

$42.3K

$123.4K

$168.9K

How much do remote data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote data engineer in Columbia, MO is $123,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 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 Columbia, MO?

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

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

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

What job categories do people searching Remote Data Engineer jobs in Columbia, MO look for?

The top searched job categories for Remote Data Engineer jobs in Columbia, MO are:

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

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

Infographic showing various Remote Data Engineer job openings in Columbia, MO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $123,438 per year, or $59.3 per hour.

Data Engineer-US

All Generation Tech

Columbia, MO • On-site, Remote

$109K - $130K/yr

Full-time

Posted 11 days ago


Job description

All Gen Tech (AGT) is a global technology delivery firm specializing in building and managing high-performing engineering teams that power some of the most complex projects in financial services, insurance technology, and enterprise software. We partner directly with leading organizations to deliver scalable, reliable, and results-driven technology solutions.
AGT brings together exceptional talent from across the globe and embeds them directly within client environments. Our teams contribute to mission-critical work across software engineering, quality assurance, business analysis, low-code/no-code development, data engineering, and legacy system modernization.
At AGT, we believe great delivery starts with great people. We invest in our teams through structured onboarding, certifications, ongoing training, and a culture rooted in transparency, accountability, and growth. Whether you are a seasoned engineer or an emerging professional, AGT gives you the platform to do meaningful work, grow your career, and make a real impact for global clients.
About The Role: We are seeking a Senior Data Engineer to design, implement, and maintain scalable data pipelines, data integration solutions, and modern data architecture. You will work closely with engineering, analytics, and business teams to build reliable data solutions and ensure efficient data storage, processing, transformation, and analytics using Snowflake and modern data engineering tools.
Location: Columbia, MO (Hybrid - 1 week in office, 1 week remote)
Experience: 4+ years
Schedule: Full-time, Monday to Friday
What You'll Do:
  • Design, develop, and maintain scalable data pipelines and data integration solutions
  • Build and manage data replication and transformation workflows using Qlik Replicate, Qlik Compose, dbt Labs, and Astronomer
  • Develop and optimize data solutions using Snowflake for data ingestion, storage, processing, and analytics
  • Implement ETL/ELT processes and support data modeling and data warehousing initiatives
  • Work with cloud-based data solutions and services across platforms such as AWS or Azure
  • Develop SQL and Python or PowerShell scripts for data manipulation, automation, and operational efficiency
  • Monitor, troubleshoot, and optimize data pipelines and resolve data engineering issues
  • Implement data quality, governance, security, and lifecycle management practices
  • Collaborate with developers, analysts, architects, and business stakeholders to understand requirements and deliver reliable data solutions
  • Use GitHub and established development practices to manage code, workflows, and collaboration
  • Contribute to scalable and maintainable data architecture and engineering standards

What We're Looking For:
  • 4+ years of experience in data engineering, preferably in a Senior Data Engineer role
  • Strong hands-on experience with Snowflake
  • Experience with Qlik Replicate and Qlik Compose for data integration and replication
  • Hands-on experience with dbt Labs and Astronomer
  • Proficiency with GitHub and modern software development workflows
  • Strong understanding of data engineering principles, data modeling, ETL/ELT processes, and data warehousing
  • Experience with cloud platforms such as AWS or Azure
  • Strong SQL skills with experience in Python, PowerShell, or similar scripting languages
  • Experience with data ingestion, performance optimization, security, and scalable data processing in Snowflake
  • Familiarity with data quality, data governance, and data lifecycle management
  • Strong problem-solving and troubleshooting skills
  • Excellent written and verbal communication skills in English
  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field is preferred
  • Ability to work effectively with cross-functional teams and stakeholders