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Data Engineer Jobs in Springfield, OH (NOW HIRING)

SIERTEK LTD

Data Engineer/Python SQL Developer*

Beavercreek, OH · Remote

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. Position Overview Section We are seeking a highly qualified Data Engineer / Python & SQL Developer ...

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: Position Overview Section We are seeking a highly qualified ...

SIERTEK LTD

Data Engineer/Python SQL Developer*

Beavercreek, OH · On-site +1

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. Position Overview Section We are seeking a highly qualified Data Engineer / Python & SQL Developer ...

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: www.siertek.com/careers Position Overview Section We are ...

SIERTEK

Data Engineer/Python SQL Developer

Dayton, OH · Remote

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: www.siertek.com/careers Position Overview Section We are ...

Premier Health

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Proficiency in SQL, data analysis, and programming (Python/Scala) * Experience with Azure ecosystem, preferable * Knowledge of Linux OS * Familiarity with machine learning and data science concepts ...

Premier Health

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Proficiency in SQL, data analysis, and programming (Python/Scala) * Experience with Azure ecosystem, preferable * Knowledge of Linux OS * Familiarity with machine learning and data science concepts ...

Lexisnexis Risk Solutions

AI Data Analyst

Dayton, OH

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

RELX

AI Data Analyst

Dayton, OH · On-site

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Springfield, OH

Data Engineer information

See Springfield, OH salary details

$40.1K

$116.8K

$159.9K

How much do data engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data engineer in Springfield, OH is $116,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $123,900.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Springfield, OH? The most popular types of Data Engineer jobs in Springfield, OH are:
What job categories do people searching Data Engineer jobs in Springfield, OH look for? The top searched job categories for Data Engineer jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Data Engineer jobs? Cities near Springfield, OH with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Springfield, OH as of June 2026, with employment types broken down into 2% As Needed, 87% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,841 per year, or $56.2 per hour.

Cloud Data Engineer with Security Clearance

Gateway Geospatial Group

Dayton, OH • On-site

$111K - $133K/yr

Other

Posted 11 days ago

Job description

About the role Designs and implements scalable data pipelines and storage solutions to support data ingestion, transformation, and access across cloud and hybrid environments. Enables mission users to discover, access, and operationalize data efficiently and securely. Responsibilities Develop and maintain data pipelines for structured and unstructured data Manage cloud-based and distributed data storage solutions Integrate data from multiple sources into enterprise systems Implement data governance, security, and access controls Support data cataloging, tagging, and discovery capabilities Collaborate with engineers and analysts to enable data-driven workflows Required qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or related field 5+ years of experience in data engineering or related field Experience with cloud platforms (AWS, Azure, or GCP) Proficiency in Python and SQL Experience with relational and non-relational databases Active TS/SCI clearance and IAT Level II certification Preferred qualifications * Experience supporting Intelligence Community (IC) mission programs.

Knowledge of data catalogs, search/indexing, and discovery tools. Experience with streaming data (e.g., Kafka) and event-driven architectures. * Familiarity with DevSecOps, security scanning, and accreditation processes.

Understanding of analytics, machine learning (ML), or exploitation workflows consuming large datasets. Prior experience modernizing or migrating legacy data systems.

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