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Remote Entry Level Data Engineering Jobs in Springboro, OH

Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role ... Feature engineering and dataset preparation * Data versioning tools (e.g., lakeFS) * Metadata ...

Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role ... Feature engineering and dataset preparation * Data versioning tools (e.g., lakeFS) * Metadata ...

... Ops, Data Engineering, and Technology Production to understand where automation can absorb ... remote work environment โ€ข May require occasional travel or extended hours during peak business ...

Software Engineer Analyst

Dayton, OH ยท Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Field Application Engineer

Blue Ash, OH ยท On-site +1

$54K - $81K/yr

Locations | Entry-Level | Full-Time Are you ready to launch your career with one of the world ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

Systems Engineer

Dayton, OH ยท On-site +1

This position will support development of a data architecture and machine learning experimentation ... Computer Science * Systems Engineering * Computer Engineering * Wireless Communications Key ...

AI ML Engineer Location: Mason, OH (Remote) Job Type: Fulltime Must Have Technical/Functional ... Handling structured & unstructured data * Embeddings & Vector Search * Embedding generation

Scientist III

Dayton, OH ยท On-site +1

... data management, and online database integration. * Your work will directly impact cutting-edge ... Engineering, or a related field. * Entry level or 0-2 years of software development experience ...

DevOps Engineer

Dayton, OH ยท Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Backend Developer

Dayton, OH ยท Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Software Developer

Dayton, OH ยท Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Back End Developer

Dayton, OH ยท Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Software Engineer

Dayton, OH ยท Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Application Developer

Dayton, OH ยท Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Frontend Engineer

Dayton, OH ยท Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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Showing results 1-20

Remote Entry Level Data Engineering information

See Springboro, OH salary details

$39.2K

$114.4K

$156.5K

How much do remote entry level data engineering jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote entry level data engineering in Springboro, OH is $114,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $121,200.00 per year, depending on experience, location, and employer.

What is a remote entry level data engineer?

A remote entry level data engineer is a professional who works from a location outside of a traditional office setting to help design, build, and maintain the data infrastructure and pipelines needed for organizations to collect and analyze data. These roles are suitable for individuals new to the field, often requiring foundational knowledge in programming, databases, and data processing tools. Entry level data engineers typically work under the guidance of more experienced team members and focus on tasks such as data cleaning, basic ETL (extract, transform, load) processes, and supporting data integration projects. Working remotely allows for flexibility and collaboration using digital communication tools.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Data Engineer, and why are they important?

To thrive as a Remote Entry Level Data Engineer, you need a foundational understanding of databases, data modeling, and programming languages such as Python or SQL, often supported by a relevant degree or coursework. Familiarity with cloud platforms (like AWS or Azure), ETL tools, and version control systems (such as Git) is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are essential soft skills for remote collaboration and troubleshooting. These skills ensure efficient data pipeline development, data integrity, and productive teamwork in distributed engineering environments.

What is the difference between Remote Entry Level Data Engineering vs Remote Junior Data Analyst?

AspectRemote Entry Level Data EngineeringRemote Junior Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL and programming skillsBachelor's in related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, data pipelinesReporting, data interpretation, dashboards
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Remote Entry Level Data Engineering focuses on building data pipelines and managing data infrastructure, requiring technical skills like SQL and programming. Remote Junior Data Analysts interpret data, create reports, and support decision-making. While both roles involve working with data remotely, data engineers handle data infrastructure, whereas data analysts focus on analyzing and visualizing data to provide insights.

What are some common challenges faced by remote entry level data engineers, and how can they be addressed?

Remote entry level data engineers often face challenges such as limited hands-on mentorship, understanding complex data pipelines, and collaborating across different time zones. To overcome these, it's helpful to proactively communicate with your team, seek feedback regularly, and make use of virtual collaboration tools. Participating in team meetings, asking questions, and accessing available documentation will help you build confidence and stay aligned with project goals.
What job categories do people searching Remote Entry Level Data Engineering jobs in Springboro, OH look for? The top searched job categories for Remote Entry Level Data Engineering jobs in Springboro, OH are:
What cities near Springboro, OH are hiring for Remote Entry Level Data Engineering jobs? Cities near Springboro, OH with the most Remote Entry Level Data Engineering job openings:
AI/ML Engineer (Active TS/SCI )

AI/ML Engineer (Active TS/SCI )

Rackner

Dayton, OH โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Job Title: AI/ML Engineer

Location: Dayton, OH and Remote
Employment Type: Full-Time

Clearance requirements: TS/SCI

About the Role

Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

Key Responsibilities

  • Design, develop, and implement machine learning and deep learning models
  • Build and optimize model architectures including CNNs, RNNs, and transformer-based models
  • Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN)
  • Perform feature engineering and prepare high-quality datasets for training and evaluation
  • Create and maintain AI/ML training runbooks and documentation
  • Collaborate with data engineers and software teams to integrate models into production systems
  • Ensure reproducibility through data versioning and metadata standards
  • Continuously evaluate and improve model performance and scalability

Required Qualifications

  • Strong proficiency in designing and implementing model architectures, including:
    • Convolutional Neural Networks (CNNs)
    • Recurrent Neural Networks (RNNs)
    • Transformer-based architectures
    • Large Language Models (LLMs)
    • Object Detection models (e.g., YOLO, Faster R-CNN)
  • Hands-on experience with:
    • PyTorch and/or TensorFlow
    • Hugging Face, Ollama, or similar frameworks
  • Experience with data engineering concepts, including:
    • Feature engineering and dataset preparation
    • Data versioning tools (e.g., lakeFS)
    • Metadata standards such as STAC
  • Ability to create clear and effective AI/ML training runbooks
  • Strong problem-solving skills and ability to work in a collaborative environment

Preferred Qualifications

  • Experience deploying models in cloud-native environments
  • Familiarity with DevSecOps practices
  • Experience working with large-scale or federal datasets
  • Understanding of MLOps principles and pipelines

Benefits & Perks

  • Weekly pay with full remote flexibility
  • Professional growth investment, including paid certifications and training
  • Comprehensive benefits package, including:
    • Medical, dental, and vision coverage
    • 401(k) with 100% company match up to 6%
    • Paid time off (PTO)
    • Life and disability insurance
    • Home office equipment plan
  • A supportive, inclusive team culture focused on collaboration, trust, and mission impact

About Rackner

Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.

We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.

Our teams solve high-impact problems that advance federal missions and strengthen national readiness.

Join us to help shape the future of secure, scalable data systems supporting mission success.