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Data Engineer Jobs in Rolla, MO (NOW HIRING)

Responsibilities : • Work with diverse data from a wide range of projects across the business ... Brewer Science is a developer and manufacturer of semiconductors and microelectronic devices.

Controls Engineer I or II

Rolla, MO

$82K - $106K/yr

Provide software solutions to provide data access and alerts to manufacturing, beta, and various ... Controls Engineer II * Same duties as Controls Engineer I. * Additional duties as Controls Engineer ...

Controls Engineer I or II

Rolla, MO · On-site

$82K - $106K/yr

Provide software solutions to provide data access and alerts to manufacturing, beta, and various ... Controls Engineer II * Same duties as Controls Engineer I. * Additional duties as Controls Engineer ...

Quality Engineer Intern

Rolla, MO

$16.50 - $21.50/hr

This intern will support quality and manufacturing engineering by analyzing process data, maintaining quality documentation, assisting with customer and change-control documentation, and helping ...

Controls Engineer I or II

Rolla, MO · On-site

$65 - $95/hr

Provide software solutions to provide data access and alerts to manufacturing, beta, and various ... Controls Engineer II * Same duties as Controls Engineer I. * Additional duties as Controls Engineer ...

Quality Engineer Intern

Rolla, MO · On-site

$16.50 - $21.50/hr

This intern will support quality and manufacturing engineering by analyzing process data, maintaining quality documentation, assisting with customer and change-control documentation, and helping ...

Controls Engineer

Rolla, MO · On-site

$82K - $106K/yr

Modify existing applications as requested by process/operations team to provide reports and data ... University Degree in Electrical Engineering. College Certified Engineering Technologist will be ...

ELECTRICAL ENGINEER

Rolla, MO · On-site

$75 - $110/hr

Archer-Elgin, a growing full service engineering, surveying and architectural firm, is searching to ... Data Acquisition (SCADA) systems, local integration and communications specifications, facility ...

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Data Engineer information

See Rolla, MO salary details

$43.7K

$127.5K

$174.5K

How much do data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer in Rolla, MO is $127,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,600.00 and $135,200.00 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.

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

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

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

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

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

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

Infographic showing various Data Engineer job openings in Rolla, MO as of August 2026, with employment types broken down into 84% Full Time, 7% Temporary, and 9% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $127,529 per year, or $61.3 per hour.

Data Scientist

Rolla, MO • On-site

Brewer Science
Semiconductor and Electronic Component Manufacturing • 201 - 500 employees

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor / microelectronics markets. They are currently seeking a purpose-driven candidate to fill an open position as a Data Scientist, responsible for working cross functionally to assist in data collection plans, analyze and model data, and create actionable plans to optimize revenue streams.
Responsibilities:
• Work with diverse data from a wide range of projects across the business unit.
• Perform data cleaning and manipulation to prepare datasets for analysis using techniques such as standardization and decomposition.
• Perform exploratory data analysis to identify correlations, data integrity issues, and missing data.
• Analyze large datasets to generate insights and identify patterns, working under guidance from senior data scientists.
• Communicate data findings and suggest potential improvements to analyses and approaches.
• Automate ETL (extract, transform, load) processes and monitor their performance.
• Collaborate with scientists to understand data requirements and provide analysis support.
• Develop basic statistical visualizations to highlight multi-dimensional correlations within data.
• Seek feedback from senior team members and business groups for improving data analysis processes.
• Perform exploratory data analysis to uncover insights, anomalies, and correlations from complex datasets.
• Automate and enhance existing data analysis pipelines and ensure quality control throughout the process.
• Code as necessary in support of statistical consulting, maintaining organized documentation of code, encouraging other’s documentation of code, and troubleshooting other’s code.
• Design, develop, and optimize advanced statistical models and machine learning (ML) and/or artificial intelligence (AI) algorithms.
• Apply and integrate a variety of data pre-processing techniques to improve data quality and analysis outcomes.
• Participate in cross-functional teams to identify opportunities for process improvement and data-driven decision-making.
• Conduct detailed analysis and help develop strategies to improve data accuracy and integrity.
• Provide support to junior data scientists and assist in mentoring them in analysis techniques and tools.
• Develop clear, visual reports that effectively communicate complex data findings to non-technical stakeholders.
Qualifications:
Required:
• Applicants must be authorized to work for any employer in the U.S.
• Bachelor’s degree in statistics, computer science, mathematics, or relevant field for Data Scientist I.
• Experience with SQL or similar language preferred for Data Scientist I.
• Intermediate Python skills or similar language preferred for Data Scientist I.
• Background in data analysis, parsing, and manipulation for Data Scientist I.
• An equivalent combination of education and related experience for Data Scientist I.
• Bachelor’s Degree in Statistics, Computer Science, Mathematics, or relevant STEM field for Data Scientist II.
• 2+ years of data querying experiences such as SQL or similar language for Data Scientist II.
• An equivalent combination of education and related experience for Data Scientist II.
Preferred:
• A master's degree is preferred for Data Scientist II.
• Applicants are encouraged to submit a link to their GitHub profile showcasing relevant projects.
Company:
Brewer Science is a developer and manufacturer of semiconductors and microelectronic devices. Founded in 1981, the company is headquartered in Rolla, USA, with a team of 201-500 employees. The company is currently Growth Stage.