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Remote Data Engineering Apprenticeship Jobs in Ohio

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 ...

The Hartford

Principal AI Engineer

Columbus, OH · On-site +1

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Experience with data engineering, ETL technology, and conversation UX is a plus. * Experience with ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Bachelor's degree in computer science, Engineering, Data Science, or a related field and experience ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Basic Qualifications: Bachelor's degree in computer science, Engineering, Data Science, or a ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

Bachelor's degree in computer science, Engineering, Data Science, or a related field and experience ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Data Engineering Apprenticeship information

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 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 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:
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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 Strategist

A-TEK Inc.

Continental, OH • Remote

$115K - $125K/yr

Full-time

Re-posted 12 days ago

Job description

A-TEK is seeking a Data Strategist to lead enterprise data strategy, governance, and analytics modernization efforts supporting DHS Health IT initiatives. This position will collaborate with business leaders, technical teams, and Government stakeholders to establish enterprise data standards, improve data quality, and maximize the value of organizational data assets. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position.

Essential Responsibilities

  • Develop enterprise data governance strategies and implementation roadmaps.
  • Establish data quality, metadata, master data, and data stewardship frameworks.
  • Define enterprise reporting and analytics strategies aligned with organizational objectives.
  • Collaborate with stakeholders to identify strategic data requirements.
  • Develop policies for data management, security, accessibility, and lifecycle management.
  • Support implementation of enterprise data governance tools and best practices.
  • Analyze current data architecture and recommend modernization initiatives.
  • Develop executive dashboards and performance measurement strategies.
  • Facilitate data governance working groups and stakeholder workshops.
  • Coordinate with data engineers, analysts, and business leaders to improve enterprise reporting capabilities.
  • Monitor data quality metrics and recommend corrective actions.
  • Support strategic planning and decision-making through data-driven insights.

Minimum Qualifications

  • Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.
  • Minimum ten (10) years of experience in enterprise data management or analytics.
  • Demonstrated experience implementing data governance frameworks.
  • Experience developing enterprise data strategies and roadmaps.
  • Knowledge of data architecture, metadata management, and data quality principles.
  • Strong analytical, facilitation, and communication skills.
  • Ability to obtain and maintain DHS Public Trust suitability.

Preferred Qualifications

  • Master's degree in Data Science, Analytics, Information Management, or related discipline.
  • Experience supporting Federal healthcare organizations.
  • Familiarity with DAMA-DMBOK or DCAM frameworks.

Compensation

Expected Salary Range: $115,000-$125,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

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