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Data Engineer Jobs in Springfield, OH (NOW HIRING)

LDSS Corp

Data Engineer

Dayton, OH

$120K - $135K/yr

We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache Spark, Python, AWS, Microsoft 365, and SharePoint. Ideal candidates will have a solid grasp of supply ...

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

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 ...

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 ...

VTG

Data Scientist

Beavercreek, OH · On-site

The Data Scientist will work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype a range of novel solutions. This data ...

VTG

Data Scientist

Beavercreek, OH

The Data Scientist will work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype a range of novel solutions. This data ...

New

Amazon

Data Center Chief Engineer

Jeffersonville, OH · On-site

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

Amazon

Data Center Chief Engineer

Jeffersonville, OH · On-site

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

Booz Allen Hamilton

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

Experience with statistical and general purpose programming languages, including Python, SQL, and NoSQL * Experience with data visualization tools, such as Tableau, Matplotlib, Seaborn, or Plotly

Deloitte

Lead AI and Data Science Engineer II

Dayton, OH

$99K - $131K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

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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 Aug 8, 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.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
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 August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. 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.

Data Engineer

LDSS Corp

Dayton, OH

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Description
Company Overview
Established in 2006, LDSS is a Woman-Owned Small Business (WOSB) based in Dayton, Ohio, with 20 years of proven success delivering high-impact solutions and services to federal agencies. LDSS is unwavering in its commitment to quality, collaboration, and delivering measurable outcomes that foster long-term success. Our thriving culture is powered by our A.C.T.I.V.E. core values:
  • Attitude – Optimistic, hopeful, and forward-thinking
  • Compassionate Teamwork – Respectful collaboration through self-awareness and mutual understanding
  • Integrity – Doing the right thing, in the right way, for the right reasons
  • Versatility – Adaptive and anticipatory problem-solving
  • Excellence – Dedicated to raising the bar of quality and performance
Summary
This is currently a remote position with participation twice year at an in-person workshop customer. We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache Spark, Python, AWS, Microsoft 365, and SharePoint. Ideal candidates will have a solid grasp of supply chain logistics and prior Department of Defense experience. This position supports the Air Force’s Maintenance, Repair, and Overhaul (MRO) program to streamline depot-level operations across the Air Force Sustainment Center. If you're passionate about data-driven transformation and ready to support mission-critical operations, we'd love to hear from you. 

Key Responsibilities
  • Build and optimize ETL data pipelines using Databricks and Apache Spark
  • Develop scalable data models leveraging Spark Data Frames and Spark SQL for efficient querying, aggregation, and integration against numerous diverse data sources
  • Utilize Python and Regular Expressions for advanced text parsing, pattern matching, and data cleansing to prepare structured datasets for downstream [CM1] ingestion
  • Use APIs for seamless data exchange and automation across systems
  • Manage SharePoint data (lists, libraries, files, metadata) programmatically using Python and Microsoft Graph API[CM2]
  • Leverage Microsoft 365 tools for documentation and collaboration
  • Develop and maintain Amazon Web Services (AWS) including S3
  • Fully utilize the Microsoft 365 environment for cross-functional data sharing and productivity
  • Use Jira to track and manage issues, tasks, and project workflows
  • Collaborate with cross-functional teams and technical stakeholders to define data transformations of legacy systems to modern schemas
  • Leverage SME collaboration to interpret business rules and build business logic into data extracts and transformation processes
  • Build and maintain strong working relationships with SME’s, helping to identify requirements for data transformations based upon iterative product feedback


Skills, Knowledge and Expertise
Education:
  • Bachelor’s degree in computer science, engineering, or a related field
Technical skills, hands-on experience and proficiency with:
  • Databricks, Apache Spark, and cloud-based data engineering and modeling (2-3 years preferred)
  • SQL for querying and managing relational data (4 years preferred)
  • AWS cloud services, including S3 (3 years preferred)
  • Python for data analysis, cleansing, and visualization (4 years preferred)
  • SharePoint lists, document libraries, and Microsoft Graph
  • Microsoft 365 apps and integration workflows
  • Developing and consuming APIs for data exchange between different systems
  • Jira or other agile workflow management systems for issue and project tracking
Relationship Management and Teamwork:
  • Proven ability to build trust and maintain strong partnerships with customers and stakeholders
  • Takes initiative and drives projects forward with minimal supervision, anticipating challenges before they arise
  • Meticulous in managing complex tasks and deadlines, ensuring accuracy and consistency across deliverables
  • Thrives in cross-functional environments, fostering open communication and teamwork across diverse groups
  • Rapidly assimilates new technologies and processes, adapting to evolving requirements in dynamic settings
  • Ability to work collaboratively with a diverse team of contractors and government personnel
  • Ability to work collaboratively with a diverse team of contractors, government personnel, and stakeholders from multiple organizations
  • Skilled in building strong customer relationships and engaging with Subject Matter Experts (SMEs) to derive business logic for data transformation methods and rules
Preferred Licenses/Certifications:
  • AWS Certified Solutions Architect 
  • Databricks Certified Data Engineer
  • U.S federal government security clearance 

Benefits
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Referral program
  • Tuition reimbursement
  • Vision insurance


LDSS logo

About LDSS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Dayton, OH, US

Year founded

2006

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