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Azure Data Engineer Jobs in Remote, OR (NOW HIRING)

Atos

Apps AI Solution Architect AMS

OR · On-site +1

$59 - $77.75/hr

... integration, data, and cloud - with hands-on AI engineering skills to infuse Artificial ... Strong experience with Azure OpenAI, OpenAI APIs, Vertex AI, AWS Bedrock, LangChain, LlamaIndex, or ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Remote, OR

Azure Data Engineer information

See Remote, OR salary details

$44.5K

$129.6K

$177.3K

How much do azure data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for azure data engineer in Remote, OR is $129,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $137,400.00 per year, depending on experience, location, and employer.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
What are the most commonly searched types of Azure Data Engineer jobs in Remote, OR? The most popular types of Azure Data Engineer jobs in Remote, OR are:
What are popular job titles related to Azure Data Engineer jobs in Remote, OR? For Azure Data Engineer jobs in Remote, OR, the most frequently searched job titles are:
What cities near Remote, OR are hiring for Azure Data Engineer jobs? Cities near Remote, OR with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Remote, OR as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $129,588 per year, or $62.3 per hour.

Apps AI Solution Architect AMS

Atos

OR • On-site, Remote

$59 - $77.75/hr

Full-time

Posted 20 days ago

Job description

About Atos Group
Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Apps AI Architect 539988
Location: North America (Remote)
Role Summary
The Apps AI Architect will play a pivotal role in transforming how we design, build, and manage enterprise applications in the GenAI era. This role blends deep application architecture expertise - spanning UI/UX, front-end, back-end, integration, data, and cloud - with hands-on AI engineering skills to infuse Artificial Intelligence (including Generative and Agentic AI) across the full application lifecycle - from design and development to modernization and ongoing operations. The Architect will drive innovation, develop reusable AI patterns, and deliver proof-of-value (PoV) initiatives that convert emerging technology possibilities into tangible business impact.
Key Responsibilities
  • Architect AI-Native Applications: Design and implement architectures that integrate AI models (LLMs, predictive, and agentic systems) into application workflows to enable reasoning, automation, and contextual decision-making.
  • End-to-End Application Design: Lead the design of UI/UX flows, user-facing AI interactions, conversational interfaces, and AI-augmented user journeys across web and mobile applications.
  • Drive Modernization Through AI: Reimagine legacy and digital applications by embedding AI capabilities that enable modernization, optimization, and transformation across app portfolios. Design modernization frameworks leveraging AI for architecture discovery, business-rules extraction, and application rationalization. Embed intelligence in re-platformed or refactored applications to create truly AI-native modernization.
  • Legacy-to-Modern Mapping: Architect solutions that transform legacy applications into modern Java, .NET, microservices, or cloud-native platforms while preserving core business rules and logic.
  • Infuse AI Across Dev & Ops: Partner with delivery and support teams to embed AI in software engineering, testing, incident management, and observability - driving efficiency, resilience, and proactive operations.
  • Tooling & Frameworks: Evaluate, integrate, and optimize AI-assisted tools (e.g., code translators, test generators, documentation bots) within modernization pipelines to accelerate delivery.
  • Integration & Ecosystem: Define strategies to integrate modernized applications into enterprise ecosystems, including APIs, event-driven architectures, and cloud environments.
  • Lead Proofs of Value (PoVs): Design and execute AI-centric PoVs to validate new technologies, tools, and architectures for clients.
  • Collaborate & Evangelize: Partner with pre-sales, delivery, and client stakeholders to identify AI opportunities, shape proposals, and articulate the business value of AI-native transformation.
  • Develop Reusable Assets: Create frameworks, accelerators, and reference architectures to scale adoption of GenAI and LLM-enabled solutions across multiple accounts.

Required Skills & Experience
  • 10-15 years of experience in Application Architecture, Engineering, or Digital Transformation, with at least 2-3 years in AI/ML or GenAI implementation.
  • Strong experience with Azure OpenAI, OpenAI APIs, Vertex AI, AWS Bedrock, LangChain, LlamaIndex, or similar LLM platforms.
  • Deep understanding of modern UI/UX architecture, responsive front-end design, and frameworks such as React, Angular, Vue, or equivalent.
  • Proficiency in Python, Node.js, or Java, with exposure to LLM integration, prompt engineering, and API orchestration.
  • Experience with leading AI-assisted productivity tools such as Claude, Gemini Code Assist, and GitHub Copilot.
  • Familiarity with observability and AIOps platforms including DataDog, Dynatrace, Moogsoft, Splunk AIOps, and ServiceNow AIOps.
  • Hands-on exposure to LLM-based ITSM agents and RAG (Retrieval-Augmented Generation) frameworks.
  • Experience with MLOps/GenAIOps for continuous model improvement within modernization initiatives.
  • Strong background in application modernization (re-platforming, containerization, microservices, and cloud-native design).
  • Solid understanding of legacy technologies such as Mainframe, Java, and .NET.
  • Knowledge of PromptOps, model observability, AI lifecycle management, and related operational frameworks.
  • Excellent communication, stakeholder management, and customer-facing engagement skills.

Preferred Qualifications
  • Certifications in AI Engineering (Azure, AWS, or Google) or equivalent credentials.
  • Prior experience working in Application Services, AMS, or ADM environments.
  • Exposure to agentic workflows, AI observability, or RAG (retrieval-augmented generation) frameworks.
  • The role requires active engagement across the full lifecycle - from pre-sales solution shaping through design, development, implementation, and ongoing evolution of AI-native applications.
  • Given the evolving nature of AI-native architectures, we welcome candidates who may not meet every requirement but demonstrate strong foundational skills and the ability to grow into the role.

Why This Role Matters
This role is central to our AI-Native Application Services transformation. The Apps AI Architect will directly shape how enterprise applications evolve - blending the power of AI, data, and cloud to create intelligent, adaptive, and self-improving systems that redefine how our clients build, run, and scale their businesses.

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