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Data Engineer Jobs in California, MO (NOW HIRING)

All Generation Tech

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, data integration solutions, and modern data architecture. You will work closely with engineering ...

Jobtailor

Principal Data Engineer - MDM

California, MO · On-site

$180 - $240/hr

Partner with Architecture, Product, AI Platform, and Data Engineering organizations to align platform investments with enterprise priorities and future AI initiatives. * Drive technical direction for ...

Jobtailor

Lead Data Engineer - Governance

California, MO · On-site

$140 - $190/hr

Collaborate with Data Engineering teams to implement governance in federated querying, GraphQL interfaces, vector databases, and RAG pipelines * Define and maintain enterprise data stewardship ...

BlackCube Labs

Data Bricks DE with Azure

California, MO · On-site

$120 - $140/hr

Azure Databricks Data Engineer Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual ...

Fractal Analytics

Data Bricks DE with Azure

California, MO · On-site

$120 - $140/hr

Azure Databricks Data Engineer Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual ...

Jobtailor

Staff Data Scientist

California, MO · On-site

$120 - $180/hr

Work directly with the Division Analytics Chief Data Engineer, frontend data visualization specialists, and product stakeholders by developing, deploying, and maintaining data pipelines from ...

BlackCube Labs

Data Engg with DQ Exp

California, MO · On-site

$140 - $160/hr

Architect - Azure Data Engineer (Data Quality) It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

Fractal Analytics

Data Engg with DQ Exp

California, MO · On-site

$140 - $160/hr

Architect - Azure Data Engineer (Data Quality) It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

Jobtailor

Data and Visualization Engineer

California, MO · On-site

$90 - $130/hr

Responsibilities * help clients find answers in their data * oversee development and deployment of data pipelines * mentor a multi-disciplinary team of analysts, data engineers, developers, and data ...

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All JobsData Engineer JobsData Engineer Jobs in California, MO

Data Engineer information

See California, MO salary details

$39.8K

$116.1K

$158.9K

How much do data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data engineer in California, MO is $116,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $123,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in California, MO as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $116,089 per year, or $55.8 per hour.

Data Engineer-US

Columbia, MO • On-site, Remote

All Generation Tech
See more jobs at All Generation Techexternal

$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

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