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Remote Microsoft Azure Data Engineer Jobs in Ohio

Senior Azure Data & Platform Engineer

OH · On-site +1

$53 - $69/hr

Job Responsibilities Azure Data Engineering & Integration * Lead the design, development, and implementation of Azure Data Factory pipelines, Azure Logic Apps workflows and related Azure data ...

Columbus, OH (1st choice), Remote (2nd choice) Experience Required: 7-12 years Base Salary: Up to ... Proficient in working on Azure cloud components Azure Data Factory, Azure Databricks, Azure Data ...

Azure Data Architect

Bay Village, OH · Remote

$58.75 - $76.50/hr

Cleveland, OH and initially the candidate can start remote Duration : Long Term 18-24 months Contract Need 10+ Years of Experience only! : I have 2 Onsite Azure Data Architect positions and the start ...

Data Architect

Cincinnati, OH · On-site +1

$118K - $186K/yr

... Microsoft Azure. This role focuses on migrating complex on‑prem SQL Server environments into a ... You have 8+ years of experience in data architecture or data engineering roles You have deep ...

Senior Data Engineer

Continental, OH · On-site +1

$160K - $170K/yr

This position is remote and requires the ability to obtain and retain a public-trust clearance ... Experience with cloud data platforms and services in AWS, Azure, or Google Cloud * Experience ...

New

Data Architect / Data Engineer (contract and direct hire) - Cincinnati, OH Overview Vaco is seeking ... Azure data services (Microsoft Fabric, Synapse, Data Factory) Experience with AWS (Redshift, Glue ...

Data Architect

Cincinnati, OH · On-site +1

$118K - $186K/yr

... Microsoft Azure. This role focuses on migrating complex onprem SQL Server environments into a ... You have 8+ years of experience in data architecture or data engineering roles * You have deep ...

Data Engineer

Cleveland, OH · On-site +1

$70K - $100K/yr

Data Engineer The Data Engineer will play a critical role in developing the data infrastructure ... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate

Data Engineer

Cincinnati, OH · On-site +1

$70K - $100K/yr

Data Engineer The Data Engineer will play a critical role in developing the data infrastructure ... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate

Data Engineer

Cincinnati, OH · On-site +1

$70K - $100K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate

Data Engineer

Cleveland, OH · On-site +1

$70K - $100K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate

Senior, Data Engineer

Columbus, OH · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Advanced knowledge of working in the Microsoft SQL Server environment to design, implement, and ...

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107.90K - $129.60K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Apply best practices in cloud platforms (AWS/GCP/Azure), containerization (Kubernetes), and CI/CD ...

Azure Architect

Cleveland, OH · Remote

$61.50 - $80.25/hr

At least 3 years of specific, firsthand experience in Microsoft Azure architecture, design, and ... Proficiency in Azure infrastructure, networking, storage, application services, and Azure DevOps. * ...

Azure Architect

Bay Village, OH · Remote

$58.75 - $76.50/hr

At least 3 years of specific, firsthand experience in Microsoft Azure architecture, design, and ... Proficiency in Azure infrastructure, networking, storage, application services, and Azure DevOps. * ...

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Remote Microsoft Azure Data Engineer information

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

AspectRemote Microsoft Azure Data EngineerRemote Data Analyst
Required CredentialsAzure certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, backend systemsData reporting, visualization, business insights
Employer & Industry UsageTech, finance, healthcare, any industry using cloud data solutionsMarketing, finance, retail, any industry analyzing data for insights

The Remote Microsoft Azure Data Engineer focuses on building and maintaining data pipelines using Azure cloud services, requiring technical skills in cloud platforms and data engineering. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and provides business insights, often using visualization tools. While both roles work with data, their focus, tools, and responsibilities differ significantly.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Ohio? The most popular types of Microsoft Azure Data Engineer jobs in Ohio are:
What are popular job titles related to Remote Microsoft Azure Data Engineer jobs in Ohio? For Remote Microsoft Azure Data Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Microsoft Azure Data Engineer jobs in Ohio look for? The top searched job categories for Remote Microsoft Azure Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Remote Microsoft Azure Data Engineer jobs? Cities in Ohio with the most Remote Microsoft Azure Data Engineer job openings:
Infographic showing various Remote Microsoft Azure Data Engineer job openings in Ohio as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Engineer / Azure Fabric Engineer Consultant

Data Engineer / Azure Fabric Engineer Consultant

Interlink Cloud Advisors, Inc.

Mason, OH • On-site, Remote

$107.70K - $129.30K/yr

Full-time

Posted 29 days ago


Job description

Interlink Cloud Advisors is looking for a Data Engineer / Azure Fabric Engineer Consultant to help clients build modern, scalable data platforms on Microsoft Azure and Microsoft Fabric. In this client-facing role, you'll lead discovery, design pragmatic architectures, and deliver end-to-end solutions that turn raw data into trusted, analytics-ready datasets for BI, reporting, and AI. You'll also bring AI development and agentic solution design experience to help clients operationalize intelligent applications on top of governed data. You'll work across Fabric (OneLake, Lakehouse, Warehouse) and Azure data services to ensure solutions are secure, governed, and operationally ready.
Key Responsibilities
What you'll do:
  • You'll lead client discovery to understand business goals, data landscape, constraints, and success metrics-then translate findings into a clear delivery plan.
  • You'll design and recommend data lake, Lakehouse, data warehouse, and analytical data store architectures on Azure and Microsoft Fabric aligned to client needs.
  • You'll implement (and/or guide implementation of) ingestion, transformation, and orchestration pipelines using Microsoft Fabric experiences and Azure services (e.g., Data Factory, Synapse, Databricks).
  • You'll integrate data from operational systems, APIs, and third-party sources and transform raw data into curated datasets ready for consumption.
  • You'll build and maintain analytics-ready data models and schemas; implement enrichment, business rules, and reusable patterns for consistency across projects.
  • You'll enable multiple compute engines (SQL, Spark/PySpark, Spark SQL, KQL) to run against shared datasets, supporting diverse analytics scenarios.
  • You'll design and build AI-enabled analytics and data products, including agentic workflows (e.g., retrieval-augmented generation patterns), ensuring solutions are scalable, secure, and aligned with responsible AI practices.
  • You'll establish data quality practices (validation, reconciliation, testing) and monitoring, troubleshoot failures, and continuously improve pipeline resiliency.
  • You'll optimize transformations, query performance, and pipeline execution to meet client SLAs and cost objectives.
  • You'll implement logging, metrics, and operational runbooks, and support deployments, cutovers, and hypercare as needed.
  • You'll design and implement security, governance, and compliance controls (access, least privilege, data protection, lineage) across Azure and Fabric.
  • You'll facilitate workshops and communicate architecture tradeoffs, partnering with client stakeholders, architects, analysts, and BI developers to deliver trusted datasets.
  • You'll produce clear consulting deliverables (design docs, diagrams, implementation guides) and enablement materials to support adoption and smooth handoff.

Requirements
Required Qualifications
  • Experience designing and delivering modern analytics platforms (Lakehouse and/or data warehouse patterns) on Azure and/or Microsoft Fabric, including client-facing delivery.
  • Strong SQL skills with experience building transformations and dimensional/analytical models.
  • Hands-on experience with Spark (PySpark/Spark SQL) and/or KQL for data engineering and analytics workloads.
  • AI development experience, including designing agentic solutions (multi-step/tool-using workflows) that leverage enterprise data (e.g., retrieval-augmented generation patterns).
  • Experience building reliable data pipelines, including orchestration, scheduling, error handling, and automated monitoring.
  • Knowledge of data quality practices (validation, reconciliation, testing) and incident triage/root-cause analysis.
  • Working knowledge of Power BI (including semantic modeling concepts) to support end-to-end analytics delivery; Power Apps experience is a plus.
  • Understanding of security and governance concepts for data platforms (access controls, least privilege, compliance, lineage).
  • Strong communication skills, with the ability to present recommendations, align stakeholders, and manage expectations in a client environment.

Preferred Qualifications
  • Direct experience with Microsoft Fabric components (OneLake, Lakehouse, Warehouse, Data Factory in Fabric, Real-Time Analytics/KQL databases), including platform administration, capacity planning, and standards.
  • Experience with Azure services commonly used in data platforms (e.g., Azure Data Factory, Synapse, Databricks, ADLS Gen2, Key Vault).
  • Experience with Microsoft Foundry.
  • Experience with Copilot, Copilot Studio, Azure AI services used to build AI/agentic applications (e.g., Azure OpenAI, Azure AI Search) and related practices like prompt engineering, evaluation, and observability.
  • Experience implementing CI/CD and Infrastructure as Code, including environment strategy and release management for data solutions.
  • Familiarity with semantic modeling and BI enablement patterns (e.g., Power BI datasets, self-service analytics, and governance guardrails).
  • Relevant Microsoft certifications (e.g., Azure Data Engineer, Fabric Analytics Engineer) and experience mentoring/enabling client teams.