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Remote Data Engineer Jobs in Dayton, OH (NOW HIRING)

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 ...

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree in Electrical Engineering, Physics, or comparable technical degree * Experience working with ...

Data Scientist

Dayton, OH · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246717 Location: Dayton,OH,US Share job via: Share Data Scientist The ... Experience with statistical and general-purpose programming languages for data analysis

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Showing results 1-20

Remote Data Engineer information

See Dayton, OH salary details

$43.3K

$126.1K

$172.5K

How much do remote data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote data engineer in Dayton, OH is $126,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,600.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Dayton, OH?

The most popular types of Data Engineer jobs in Dayton, OH are:

What are popular job titles related to Remote Data Engineer jobs in Dayton, OH?

For Remote Data Engineer jobs in Dayton, OH, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Dayton, OH look for?

The top searched job categories for Remote Data Engineer jobs in Dayton, OH are:

What cities near Dayton, OH are hiring for Remote Data Engineer jobs?

Cities near Dayton, OH with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Dayton, OH as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,079 per year, or $60.6 per hour.

Data Engineer/Python SQL Developer

SIERTEK

Dayton, OH • Remote

$46.75 - $64.50/hr

Full-time

Re-posted 18 days ago


Job description

SierTeK proudly serves our clients by providing expertise in the Program Management, Information Technology, and Administrative Support domains. Founded in 2007 as a minority and service-disabled veteran-owned company, we serve as prime- and subcontractor for a multitude of Federal Department of Defense contracts. By focusing on continual improvement, our services remain at the forefront of our industry, and we pride ourselves on delivering our services with the highest degree of integrity.

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 seeking a highly qualified Data Engineer / Python & SQL Developer to support the design, development, and deployment of data engineering and ETL solutions in a mission-focused environment. The successful candidate will bring deep technical experience in Python and SQL, with demonstrated capability building scalable data pipelines and cloud-based integrations using AWS services. This individual will also be responsible for applying sound database design principles through table design and stored procedure scripting, producing high-quality technical documentation, and operating effectively within an Agile delivery model. Experience supporting U.S. Air Force environments and/or possession of relevant Air Force credentials is strongly preferred.

Essential Job Functions

  • Design, develop, enhance, and maintain data pipelines, ETL workflows, and backend data processing solutions using Python and SQL
  • Implement and support cloud-based data engineering capabilities leveraging AWS Lambda, AWS Glue, Amazon S3, and other relevant AWS services
  • Apply leading practices in database design, including schema development, data modeling, normalization, optimization, and data integrity controls
  • Analyze business and technical requirements and translate them into scalable, maintainable, and secure data solutions
  • Develop, update, and maintain technical artifacts such as solution documentation, interface specifications, data flow diagrams, and operational procedures
  • Participate in Agile ceremonies and delivery processes, including backlog management, sprint planning, status tracking, and issue resolution through Jira
  • Troubleshoot and resolve data quality, integration, and performance issues across the solution landscape
  • Test ETL Pipelines and Data workflows and perform code review for other Data Engineers
  • Collaborate with cross-functional stakeholders, including developers, architects, analysts, and program leadership, to support successful delivery outcomes
Qualifications

Minimum Position Requirements

  • Proven experience as an advanced or expert-level Python and SQL developer
  • Hands-on experience with AWS Lambda, AWS Glue, Amazon S3, and related ETL or cloud data integration tools
  • Strong understanding of database design and data architecture best practices
  • Experience producing clear, structured technical documentation for development and operational use
  • Experience working within Agile delivery teams and using Jira to support workflow management
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment
  • Consultant/Senior Consultant (or USDC/PDM/Specialist equivalent)

Highly Desired Qualifications

  • Prior experience supporting Department of Defense or U.S. Air Force programs
  • Existing Air Force credentials and/or ability to work in a secure or controlled government environment
  • Familiarity with secure data handling, compliance-driven delivery, and mission-oriented technology programs
  • Experience working in complex enterprise data environments with multiple upstream and downstream integrations

SierTeK is an equal opportunity employer. Employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, gender identity and sexual orientation.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.

If you need assistance or accommodation due to a disability, you may contact us at 1+833.743.7835.

*This job posting is to identify potential candidates for positions in order to respond to a request for proposal. This job posting, including but not limited to, qualifications, duties, compensation and benefits, is subject to change based on the terms and conditions of the awarded contract and is contingent on SierTeK being awarded the contract.


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About Siertek

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Beavercreek, OH, US

Year founded

2007