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Data Engineer Jobs in Springfield, MO (NOW HIRING)

Bespoke Labs

Data Engineer

Springfield, MO

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Capstone IT

Principal Data Engineer

Springfield, MO · On-site

Principal Data Engineer *** Please note, this role is not open to third party candidates or agencies and does not provide sponsorship opportunities now or in the future. This opportunity is ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

Principal AI Engineer Location: Springfield, Missouri Department: Information Technology Employment ... This hands-on role develops natural language-to-SQL solutions, semantic data models, and prototype ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

This hands-on role develops natural language-to-SQL solutions, semantic data models, and prototype ... Principal AI Engineer, LLM, Snowflake, Cortex AI, natural language to SQL, semantic data modeling ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

We're looking for a creative, systems-thinking engineer with strong data platform expertise ... excellent SQL/Python skills, and a passion for translating business questions into scalable AI ...

Brightli

Principal AI Engineer

Springfield, MO

Principal AI Engineer Location: Springfield, Missouri Department: Information Technology Employment ... Five reasons to apply: opportunity to lead AI strategy across the data platform; handson work with ...

Bass Pro Shops

Senior AI Engineer

Springfield, MO · On-site

$95K - $130K/yr

Ensure data readiness by assessing availability and quality across enterprise and third-party sources; partner with Data Engineering to design and validate pipelines that produce high-quality, AI ...

TERRACON

Geotechnical Field Engineer

Springfield, MO

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

TERRACON

Geotechnical Field Engineer

Springfield, MO · On-site

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

TERRACON

Geotechnical Staff Engineer

Springfield, MO · On-site

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

TERRACON

Geotechnical Staff Engineer

Springfield, MO

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Hikinex

Welding Engineer

Springfield, MO · On-site

$32.50 - $44.75/hr

... data to establish standards for new or modified equipment, fixtures, and processes. • Recommend ... Welding Engineering preferred. • Formal training in robotic systems, metal fabrication, and arc ...

HIKINEX

Welding Engineer

Springfield, MO

Analyze process and equipment performance data to establish standards for new or modified equipment ... Welding Engineering preferred. Formal training in robotic systems, metal fabrication, and arc ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Springfield, MO

Data Engineer information

See Springfield, MO salary details

$40.5K

$118K

$161.5K

How much do data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data engineer in Springfield, MO is $117,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,100.00 per year, depending on experience, location, and employer.

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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Springfield, MO? The most popular types of Data Engineer jobs in Springfield, MO are:
What are popular job titles related to Data Engineer jobs in Springfield, MO? For Data Engineer jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Springfield, MO look for? The top searched job categories for Data Engineer jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Data Engineer jobs? Cities near Springfield, MO with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Springfield, MO as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,994 per year, or $56.7 per hour.

Data Engineer

Bespoke Labs

Springfield, MO

$104K - $125K/yr

Full-time

Posted 3 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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