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Remote Data Engineering Apprenticeship Jobs in Ohio

Riverside Research

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 ...

Smart Data

Oracle Developer

Cincinnati, OH · Remote

$55.25 - $68.50/hr

Oracle Data Engineer Location: Cincinnati, OH preferred, REMOTE USA (EST) OK Design, develop, and maintain ETL pipelines and data warehouse processes across multiple source systems. Build and enhance ...

Huntington

Cloud & Data Engineer

Columbus, OH · On-site +1

$52.25 - $70/hr

... in Cloud Engineering, Software Development, or Data Analytics. 1+ years of experience with AWS ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

A-TEK Inc.

Data Strategist

Continental, OH · Remote

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Coordinate with data engineers, analysts, and business leaders to improve enterprise reporting ...

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Remote Data Engineering Apprenticeship information

What is a remote data engineering apprenticeship?

A Remote Data Engineering Apprenticeship is a structured training program where individuals learn the fundamentals of data engineering while working remotely. Apprentices typically gain hands-on experience with data pipelines, databases, and tools such as SQL, Python, and cloud services under the supervision of experienced mentors. The goal is to prepare apprentices for a full-time role as a data engineer by exposing them to real-world projects and industry best practices. This type of apprenticeship is ideal for those looking to start a career in data engineering while benefiting from the flexibility of remote work.

What skills and qualifications are needed to thrive as a remote data engineering apprentice?

To excel as a Remote Data Engineering Apprentice, you need a foundational understanding of programming (especially Python or SQL), data modeling, and database management, typically supported by relevant coursework or a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Google Cloud), ETL tools, and version control systems (such as Git) is often required, and certifications in these areas can be beneficial. Strong problem-solving, communication, and self-motivation are vital soft skills for collaborating virtually and adapting to new challenges. These skills ensure you can effectively contribute to data projects, learn quickly in a remote environment, and support team goals in a rapidly evolving field.

What are common challenges faced by remote data engineering apprentices, and how can they be managed?

Remote data engineering apprentices often encounter challenges such as limited face-to-face mentorship, managing time zones, and ensuring strong communication with team members. To overcome these, it helps to proactively schedule regular check-ins with mentors, set clear daily goals, and utilize collaboration tools like Slack or Jira. Establishing a dedicated workspace and adhering to a structured routine can also foster productivity and help apprentices stay engaged with their projects and team.

What is the difference between Remote Data Engineering Apprenticeship vs Remote Data Engineer?

AspectRemote Data Engineering ApprenticeshipRemote Data Engineer
Required CredentialsTypically entry-level, often requiring basic programming or data fundamentalsUsually requires a bachelor's degree in computer science, data science, or related field, with experience in data tools
Work EnvironmentTraining-focused, often part-time or structured learning programsFull-time remote role with project responsibilities
Employer & Industry UsageUsed by companies to train new talent; common in tech and data-driven industriesHired as a professional to develop and maintain data pipelines and systems

The Remote Data Engineering Apprenticeship is an entry-level training program designed to develop foundational skills in data engineering, often with mentorship and structured learning. In contrast, a Remote Data Engineer is a full-time professional responsible for building and managing data infrastructure. The apprenticeship prepares individuals for a career in data engineering, while the data engineer role involves applying those skills in real-world projects.

What are the most commonly searched types of Data Engineering Apprenticeship jobs in Ohio?

The most popular types of Data Engineering Apprenticeship jobs in Ohio are:

What are popular job titles related to Remote Data Engineering Apprenticeship jobs in Ohio?

For Remote Data Engineering Apprenticeship jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering Apprenticeship jobs in Ohio look for?

The top searched job categories for Remote Data Engineering Apprenticeship jobs in Ohio are:

What cities in Ohio are hiring for Remote Data Engineering Apprenticeship jobs?

Cities in Ohio with the most Remote Data Engineering Apprenticeship job openings:

Remote Data Engineering Apprenticeship jobs near you

Data Ontology & Standards Engineer/Scientist

Apogee Engineering, LLC

Dayton, OH • On-site, Remote

Full-time

Posted 16 days ago

Job description

Apogee is seeking a Data Ontology & Standards Engineer/Scientist to Lead the design and governance of mission-focused data ontologies, standards, and knowledge models to enable interoperable, integrated intelligence data across NASIC and partner enterprises.

****Contingent Upon Contract Award****


  • Develop and maintain knowledge models, including mission-relevant terms, definitions, hierarchies, and relationships.
  • Define and document data standards that enable consistent data integration and reuse.
  • Collaborate with cross-functional teams (mission analysts, engineers, architects, data owners) to validate and adopt standards.
  • Guide data architecture planning and standard approval processes in coordination with governance bodies.
  • Support integration of ontologies and standards into tools, repositories, and workflows.
  • Produce the monthly Data Ontology Posture Report documenting progress against mission requirements and recommended standards.

Minimum Experience:

Citizenship: Must be a US citizen 
Clearance: Ability to obtain and maintain TS/SCI
Education / Years of Experience:

  • Bachelor’s degree in Information Science, Computer Science, Data Science, or related field.
  • 8+ years of experience in data architecture, ontology/metadata design, or enterprise data management.
  • Experience defining and managing controlled vocabularies, taxonomies, or ontologies in complex domains.
  • Strong understanding of data modeling concepts and data integration patterns.
  • Demonstrated ability to lead cross-functional standards and governance efforts.

Preferred Qualifications:

  • Experience with semantic technologies (e.g., RDF/OWL, knowledge graphs) or standards such as UML, OWL, or SKOS.
  • Background in intelligence data standards or community data models.
  • Experience implementing data standards within cloud or enterprise platforms.
  • Familiarity with MBSE, digital engineering, or analytics platforms that consume standard data models.

Additional Information
Location:  Wright Patterson AFB Dayton, OH
On-site/Hybrid/Remote: On-site
Travel: Occassional


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