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Remote Microsoft Data Engineer Jobs in Ohio (NOW HIRING)

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 ...

Booz Allen Hamilton, Inc.

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

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

CIBC US

Data Security Consultant

Delaware, OH · On-site +1

$130K - $150K/yr

... and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams, risk ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

CIBC

Data Security Consultant

Delaware, OH · On-site +1

$130K - $150K/yr

... and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams, risk ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

Smart Data

15820 Backend Developer Level 3

Cincinnati, OH · Remote

$118K - $142K/yr

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm ... Lead Backend Engineer - Node.js/TypeScript, Distributed Systems Location: REMOTE USA Years of ...

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Remote Microsoft Data Engineer information

What is a remote Microsoft data engineer?

A Remote Microsoft Data Engineer is a professional who designs, builds, and manages data solutions using Microsoft technologies, such as Azure Data Factory, SQL Server, and Power BI, while working from a remote location. Their responsibilities include developing data pipelines, implementing data models, and ensuring data quality and security. They collaborate with other IT professionals and business stakeholders to enable effective data-driven decision making within an organization. Working remotely, they use online tools and platforms to communicate and complete their tasks efficiently.

What are the key skills and qualifications needed to thrive as a remote Microsoft data engineer?

To thrive as a Remote Microsoft Data Engineer, you need expertise in data modeling, ETL processes, and strong proficiency with SQL, along with a degree in computer science or a related field. Familiarity with Microsoft data platforms such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving, communication, and collaboration skills are crucial for remote teamwork and effective project execution. These skills ensure the development of robust data solutions, facilitate seamless collaboration, and support informed decision-making in distributed environments.

How does a remote Microsoft data engineer typically collaborate with cross-functional teams to deliver data solutions?

As a Remote Microsoft Data Engineer, you will frequently collaborate with data analysts, software engineers, and business stakeholders to design, implement, and optimize data pipelines and storage solutions using Microsoft Azure and related technologies. Communication often occurs through virtual meetings, project management tools, and code repositories, making clear documentation and proactive updates essential. You may participate in sprint planning, code reviews, and troubleshooting sessions to ensure that data solutions align with business goals and technical requirements. Building strong remote working relationships and maintaining transparency are key to successful collaboration in this role.

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

AspectRemote Microsoft Data EngineerRemote Data Analyst
Required CredentialsMicrosoft certifications, SQL, cloud platform knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentCloud-based, technical teams, data engineering projectsBusiness teams, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare using Microsoft toolsMarketing, retail, finance analyzing data trends

The Remote Microsoft Data Engineer focuses on building and maintaining data pipelines using Microsoft technologies, while the Remote Data Analyst interprets data to provide business insights. Both roles require SQL skills and often work in cloud environments, but their daily tasks and end goals differ significantly.

What are the most commonly searched types of Microsoft Data Engineer jobs in Ohio?

The most popular types of Microsoft Data Engineer jobs in Ohio are:

What are popular job titles related to Remote Microsoft Data Engineer jobs in Ohio?

For Remote Microsoft Data Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Microsoft Data Engineer jobs in Ohio look for?

The top searched job categories for Remote Microsoft Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Remote Microsoft Data Engineer jobs?

Cities in Ohio with the most Remote Microsoft Data Engineer job openings:

Remote Microsoft Data Engineer jobs near you

Data Ontology & Standards Engineer/Scientist

Apogee Engineering, LLC

Dayton, OH • On-site, Remote

Full-time

Posted 3 days ago

New

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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