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Azure Data Jobs in Oregon (NOW HIRING)

SOSi

Senior Data Scientist

Myrtle Point, OR · On-site

Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested individuals will receive ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or Apache Spark for batch and streaming. * Experience building and optimizing data pipelines ...

Moda Health

Data Engineer I, II

Portland, OR · On-site

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing ... Exposure to DevOps practices using tools such as Azure DevOps (CI/CD, work item tracking, GIT ...

Pwc

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or Apache Spark for batch and streaming. * Experience building and optimizing data pipelines ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or Apache Spark for batch and streaming. * Experience building and optimizing data pipelines ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or Apache Spark for batch and streaming. * Experience building and optimizing data pipelines ...

Cynet Systems

D365 Enterprise Architect

Hillsboro, OR · Remote

Experience in data migration architecture with SAP, Salesforce, SQL, and Azure Data Lakes. Responsibilities: * Lead technical design and development of D365 F&O customizations, extensions, and ...

CYNET SYSTEMS

D365 Enterprise Architect

Hillsboro, OR · On-site

$75/hr

Experience in data migration architecture with SAP, Salesforce, SQL, and Azure Data Lakes. Responsibilities: * Lead technical design and development of D365 F&O customizations, extensions, and ...

US Bank

Software Engineer -2

Gresham, OR · On-site

Hands-on expertise with Azure Data Lake (ADLS) for scalable data storage, partitioning, and lifecycle management * Solid understanding of the Azure cloud ecosystem and end-to-end data platform ...

Pwc

Data Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

Azure Standard

Director of Legal & Risk Management

OR · On-site

... with Azure's values, risk tolerance, and cost stewardship Privacy, Data Protection & Technology Risk * Advise on data privacy, consumer protection, and cybersecurity obligations * Partner with ...

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All JobsAzure Data JobsAzure Data Jobs in Oregon

Azure Data information

See Oregon salary details

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How much do azure data jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for azure data in Oregon is $61.75, according to ZipRecruiter salary data. Most workers in this role earn between $55.91 and $69.38 per hour, depending on experience, location, and employer.

What is the difference between Azure Data vs Data Engineer?

AspectAzure DataData Engineer
CertificationsAzure Data Engineer Associate, Azure FundamentalsGoogle Cloud Professional Data Engineer, AWS Certified Data Analytics
Work EnvironmentPrimarily cloud-based, using Azure platformCloud, on-premises, or hybrid environments
Industry UsageOrganizations leveraging Azure cloud servicesOrganizations managing large-scale data pipelines and storage
Common Search IntentAzure Data roles, Azure Data solutionsData pipeline development, data architecture

Azure Data professionals focus on managing data within the Azure cloud ecosystem, utilizing Azure-specific tools and services. Data Engineers have a broader scope, designing and building data pipelines across various platforms, including Azure, AWS, or on-premises systems. While Azure Data roles are specialized for Azure environments, Data Engineers work across multiple cloud providers and on-premises setups, making their roles more versatile in data infrastructure development.

How does an Azure Data professional typically collaborate with other teams within an organization?

Azure Data professionals frequently work alongside data engineers, business analysts, developers, and IT administrators to ensure that data solutions are robust, scalable, and meet business needs. They often participate in cross-functional meetings to understand requirements, troubleshoot issues, and optimize data pipelines. Effective communication is key, as they translate technical concepts for non-technical stakeholders and provide guidance on best practices for data storage, processing, and security within Azure environments.

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

To thrive as an Azure Data professional, you need expertise in data modeling, SQL, and cloud data architecture, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure SQL Database, Data Factory, Synapse Analytics), and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving, analytical thinking, and effective communication skills help you excel in cross-functional teams and translate business requirements into technical solutions. These competencies ensure data solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving cloud environment.

What are Azure Data jobs?

Azure Data jobs refer to roles that focus on managing, analyzing, and securing data using Microsoft's Azure cloud platform. These positions can include data engineers, data analysts, database administrators, and data architects who work with Azure services like Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Responsibilities often involve designing data solutions, building data pipelines, ensuring data quality, and implementing security best practices on Azure. Professionals in Azure Data roles help organizations leverage cloud-based data technologies to gain insights, optimize operations, and support business decision-making.
What are popular job titles related to Azure Data jobs in Oregon? For Azure Data jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Azure Data jobs in Oregon look for? The top searched job categories for Azure Data jobs in Oregon are:
What cities in Oregon are hiring for Azure Data jobs? Cities in Oregon with the most Azure Data job openings:
Azure Data jobs near you

Senior Data Scientist

SOSi

Myrtle Point, OR • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.
Qualifications
  • Active TS/SCI Clearance.
  • Master’s degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment. 
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:

  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Additional Information

Work Environment

  • Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.