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Remote Azure Data Engineer Jobs in West Virginia

GDIT

SAP Data Migration Engineer

WV · On-site +1

$97K - $127K/yr

Yes GDIT has an opportunity for an SAP Data Migration Engineer to support the SAP S/4HANA ... This is a remote position. Responsibilities: * Execute data extractions from SAP ECC using SAP Data ...

LTS

Agentic AI Security Engineer

Charleston, WV · Remote

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Sensitive data leakage * Experience with cloud security across AWS, Azure, or Google Cloud.

GDIT

Data Analysis Manager

WV · On-site +1

BI Full 6C (T4) Job Family: Data Science and Data Engineering Job Qualifications: Skills ... Yes Data Analytics Manager The Data Analytics Manager will lead a remote, cross-functional team of ...

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Cengage Learning

Principal Software Engineer

Charleston, WV · On-site +1

$124K - $167K/yr

As a successful technology leader, you will build and lead remote software engineering ... You will partner closely with product and design teams and lead through data driven insights. You ...

GDIT

Cloud Engineer Principal

WV · On-site +1

$131K - $178K/yr

Maintains/enhances knowledge of related (AWS / Azure / GCP / OCI) cloud services * Monitors and ... Remote GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of ...

GDIT

Cloud Architect

WV · On-site +1

$169K - $229K/yr

Software Engineering Job Qualifications: Skills: Cloud Native, Microsoft Azure, Platform as a ... Design cloud-native data platforms, pipelines, and analytics architectures. * Automate cloud ...

GDIT

Sr. Dashboard Developer (Medicare/Medicaid)

WV · On-site +1

$85K - $115K/yr

Data Science and Data Engineering Job Qualifications: Skills: Building Dashboards, Data Analysis ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Locatee AG

$124K - $167K/yr

... data, and a whole lot of collaboration. Whether you're a creative thinker, a strategic planner, a ... Java/J2EE, Oracle, Postgres, AWS, GCP, Azure, and modern frontend frameworks (React, Vue.js)

Locatee Ag

$124K - $167K/yr

... data, and a whole lot of collaboration. Whether you're a creative thinker, a strategic planner, a ... Java/J2EE, Oracle, Postgres, AWS, GCP, Azure, and modern frontend frameworks (React, Vue.js)

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

Zayo

Director, Data and Cloud Security

Charleston, WV · Remote

$126K - $194K/yr

... engineering, data, and infrastructure teams to enable secure, scalable cloud adoption ... Define secure cloud architectures for AWS, Azure, and GCP * Own cloud IAM strategy and enforce ...

AmeriSave Mortgage Corp.

$120K - $150K/yr

... Azure OpenAI. * Handle unstructured data (PDFs, HTML, audio, images) and multimodal models ... Excellent communication and teamwork skills, with the ability to work effectively in a remote ...

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All JobsAzure Data Engineer JobsRemote Azure Data Engineer JobsRemote Azure Data Engineer Jobs in West Virginia

Remote Azure Data Engineer information

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$34.5K

$100.4K

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How much do remote azure data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote azure data engineer in West Virginia is $100,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $106,400.00 per year, depending on experience, location, and employer.

What is a remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote Azure Data Engineer?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What are popular job titles related to Remote Azure Data Engineer jobs in West Virginia?

For Remote Azure Data Engineer jobs in West Virginia, the most frequently searched job titles are:

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Remote Azure Data Engineer jobs near you

Director of Gen AI & Agentic AI Engineering

AmeriSave Mortgage Corp.

Charleston, WV • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

AmeriSave is a technology-driven mortgage lender committed to transforming the way consumers access financial products. As we expand our digital capabilities, we’re investing in advanced Generative AI and Agentic AI systems to automate and optimize lending workflows, enhance customer experience, and drive innovation across the enterprise.
 
Role Overview:
We’re seeking a Director of Gen AI & Agentic AI Engineering to lead the design, development, and deployment of enterprise-grade AI applications. This role is ideal for a senior engineering leader with deep technical expertise, a passion for innovation, and a track record of building production-ready Gen AI systems.
You will guide the development of intelligent agents, RAG pipelines, and multimodal applications, while continuously evaluating emerging technologies to ensure AmeriSave remains at the forefront of AI-driven lending.
 
Responsibilities:
  • Lead Gen AI Development: Architect and deploy Gen AI applications using LLMs and agentic frameworks for mortgage lending use cases.  
  • RAG Pipeline Innovation: Build and optimize Retrieval-Augmented Generation pipelines with hybrid retrieval, semantic chunking, and vector search.  
  • Cloud-Native Integration: Integrate AI solutions with Azure OpenAI, GCP Vertex AI, and other cloud-native services.  
  • Multimodal Intelligence: Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.  
  • LLMOps Leadership: Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.  
  • Cross-Functional Collaboration: Partner with product managers, data engineers, and UX teams to deliver scalable, user-centric solutions.  
  • Mentorship & Strategy: Mentor engineers, lead technical design reviews, and contribute to long-term AI strategy.  
  • Technology Evaluation: Continuously assess emerging Gen AI technologies (e.g., Gemini, Claude, open-source models) to identify best-in-class solutions for today and tomorrow.
 
Required Skills & Experience:
  • 8+ years in software engineering or data science, with 3+ years in Gen AI or LLM-based systems.  
  • Strong programming skills in TypeScript, Python, or similar languages.  
  • Experience with REST API development, containerization, and cloud platforms (Azure, GCP).  
  • Deep understanding of AI governance, model safety, and prompt engineering.  
  • Proven ability to lead teams and deliver enterprise-grade AI applications.  
  • Excellent communication, collaboration, and problem-solving skills.
 
Bonus Points:
  • Experience with BytePro LOS and Asterisk telephony systems.  
  • Familiarity with mortgage compliance frameworks such as HMDA, TRID, RESPA, and ECOA.  
  • Experience with rules engines such as FICO Blaze Advisor, IBM Operational Decision Manager (ODM), or Red Hat Decision Manager.  
  • Experience in fintech, lending, or mortgage tech.  
  • Contributions to open-source Gen AI or document AI projects.  
  • Knowledge of compliance workflows (e.g., KYC, income verification).  
  • Experience with multimodal AI and agentic frameworks.

High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via Ethernet. Minimum speeds: 70/30 Mbps (basic), 200-300/35-70 Mbps (shared), 500-1,000/100+ Mbps (heavy use).

**Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. **  
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Compensation: 
Annual compensation for this position generally ranges from $175,000 - $350,000.
Benefits: 
  
·         401(k) 
·         Dental insurance 
·         Disability insurance 
·         Employee discounts 
·         Health insurance 
·         Life insurance 
·         Paid time off 
·         12 paid holidays per year 
·         Paid training 
·         Referral program 
·         Vision insurance 
  
Supplemental pay types: 
  
·         Referral bonuses 
 
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
California Consumer Privacy Act Disclosure Acknowledgment 
Employment Applicants, New Hires, and Employees Residing in California 
  
AmeriSave Mortgage Corporation’s Privacy Policy Statement (“Policy”) can be reviewed here: www.amerisave.com/privacy-policy 
  
AmeriSave Mortgage Corporation’s California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/ 
  
When AmeriSave’s Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.