1

Data Engineer Jobs in Springfield, MO (NOW HIRING)

Controls Engineer

Springfield, MO · On-site

$76K - $98K/yr

Conduct data analysis and use predictive models to drive decision making. * Perform maintenance and ... PLC programming (Ladder Logic, Function Block, Structured Text). * Strong experience with Allen ...

Controls Engineer

Springfield, MO

$70K - $91K/yr

Conduct data analysis and use predictive models to drive decision making. * Perform maintenance and ... PLC programming (Ladder Logic, Function Block, Structured Text). * Strong experience with Allen ...

Interpret and gather data from testing * Implementing design improvements * Introducing and ... Application of engineering principles and techniques to problem-solving and innovation.

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Prepare permit applications for construction and provide technical data for environmental permit applications. * Maintain thorough engineering administration and project documentation standards Good ...

Prepare permit applications for construction and provide technical data for environmental permit applications. * Maintain thorough engineering administration and project documentation standards Good ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

next page

Showing results 1-20

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 27, 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.
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 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:
Store Operations Data Analyst

Store Operations Data Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Posted 24 days ago


O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,843 frontline employees who took The Breakroom Quiz

538th of 719 rated retailers


Job description

Job Summary:
O'Reilly Auto Parts is a company with a strong promote-from-within philosophy and a proven track record of growth and stability. They are seeking a Store Operations Data Analyst to work with field and corporate leadership to organize and present key business insights using data analysis and visualization tools, ultimately helping to make important operational decisions based on performance KPIs and other business needs.
Responsibilities:
• Make use of all available datasets to accomplish business objectives.
• Initiate and monitor systems, process, and recurring reports in accordance with production schedule (weekly, monthly quarterly etc.), to ensure accuracy and timely execution.
• Document requirements for the creation of new dashboards, visualizations and reports in BI tools.
• Use existing data, processes, and reports to fulfill the needs of field leadership, stores as well as any departments supported by the store operations data analysis team.
• Assist with design and creation of new dashboards and reports as assigned.
• Provide insight into existing operational reports, TN applications, dashboards, and identify opportunities for improvement.
• Communicate with responsible parties when abnormalities are identified.
• Troubleshooting the reporting database environment and reports.
• Learn and use all data sources and software used by Store Operations data analysis team, including BI tools, data warehouse, adhoc data feeds such as CSV or Excel files, Access or Postgres databases to provide insights to the store operations department and other supported departments.
• Training end users on new reports and dashboards.
Qualifications:
Required:
• 2 year or 4 year degree, preferably in Business, CIS, Computer Science, Economics or Mathematics
• Strong analytical skills
• Complex query statement construction experience (SQL/MySQL)
• Acute attention to detail prior experience working with relational databases, large datasets, and ETL processes
• Experience transforming data into usable information for non-technical consumers
• Strong interpersonal, communication, and collaborative skills
• Able to provide a high level of customer service inside and outside the team
• Proficient with Excel, Access, and Word
• Flexible and adaptable to new direction as business problems change
Preferred:
• DOMO or other Bi Tools experience
• Excellent verbal/writing skills
• Self-motivated Ability to work with limited supervision
• Collaboration and creativity, Commitment to participate in additional training
• Experience in Automotive Retail or Service Industries
Company:
O’Reilly Auto parts is a specialty retailer of automotive aftermarket parts, tools, supplies, equipment and accessories. Founded in 1957, the company is headquartered in Springfield, USA, with a team of 10001+ employees. The company is currently Late Stage.

What O'Reilly Auto Parts employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom