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Remote Data Engineer Government Jobs in Missouri

Data Engineer-US

Columbia, MO ยท 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, ...

Data Engineer - Multiple Positions

Chesterfield, MO ยท 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 ...

$81K - $111K/yr

... remote-first international environment. This is an ideal role for a hands-on data engineering ... expert who enjoys solving complex customer-data challenges and creating scalable, high-quality ...

New

$112K - $148K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

$81K - $111K/yr

As a Senior Data & Analytics Engineer, you'll take end-to-end ownership of a modern data platform and business intelligence layer within a fully remote, international environment. You'll help ...

$180K/yr

Our partner is looking for a Senior Software Engineer (Data) based in Netherlands. This is an ... Fully remote and distributed working environment with flexibility to structure work around personal ...

$80K - $110K/yr

This fully remote role is ideal for an experienced engineer who enjoys solving foundational ... Develop scalable data and knowledge pipelines covering ingestion, embeddings, retrieval, vector ...

... engineering. You will help define standards that improve data discoverability, reliability, security, and usability for both people and AI systems. This remote contract role is suited to a highly ...

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Our data platform is what makes that visible - to our product teams, our clients, and ourselves. As ...

... and government programs throughout the United States * Expansive client portfolio and active ... Ability to coordinate test data needs with business, technical, and data conversion teams

... and government programs throughout the United States * Expansive client portfolio and active ... Ability to coordinate test data needs with business, technical, and data conversion teams

Analytics Engineer I

Kansas City, MO ยท On-site +1

$111K - $134K/yr

Kansas City, MO (4 days in-office, 1 day remote) Experience Level: Mid-level (2-4 years) Department: Data Analytics Team About the Role An Analytics Engineer builds and maintains the foundational ...

Analytics Engineer I

Kansas City, MO ยท On-site +1

$111K - $134K/yr

Kansas City, MO (4 days in-office, 1 day remote) Experience Level: Mid-level (2-4 years) Department: Data Analytics Team About the Role An Analytics Engineer builds and maintains the foundational ...

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Remote Data Engineer Government information

What is the difference between Remote Data Engineer Government vs Remote Data Engineer Corporate?

AspectRemote Data Engineer GovernmentRemote Data Engineer Corporate
CredentialsTypically requires security clearances, government-specific certificationsUsually requires general data engineering certifications like AWS, Google Cloud
Work EnvironmentGovernment agencies, public sector projects, strict compliance standardsPrivate companies, startups, corporate data teams, flexible environments
Employer & IndustryFederal, state, or local government agenciesTech firms, finance, healthcare, retail
Search & Comparison IntentUnderstanding government-specific roles, security requirementsExploring corporate data engineering opportunities

The main difference between Remote Data Engineer Government and Remote Data Engineer Corporate lies in the work environment, required credentials, and industry focus. Government roles often demand security clearances and compliance with strict standards, while corporate roles tend to be more flexible and industry-specific. Both roles require strong data engineering skills but cater to different sectors and operational protocols.

What are popular job titles related to Remote Data Engineer Government jobs in Missouri?

For Remote Data Engineer Government jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer Government jobs in Missouri look for?

The top searched job categories for Remote Data Engineer Government jobs in Missouri are:

What cities in Missouri are hiring for Remote Data Engineer Government jobs?

Cities in Missouri with the most Remote Data Engineer Government job openings:

Infographic showing various Remote Data Engineer Government job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Engineer-US

Columbia, MO โ€ข On-site, Remote

$109K - $130K/yr

Full-time

Posted 16 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