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

Kiewit Corporation

Data Engineer-Kiewit Nuclear Solutions 1

OR · Remote

$107.40K - $128.90K/yr

Azure Databricks (Spark / PySpark / Spark SQL) * Azure Data Factory * SQL Server / Azure SQL ... Programming: Expert level SQL, PL/SQL, Experienced Python skills (with a strong track record of ...

Kynite

Azure Platform Lead/ Architect

OR

$59.50 - $77.50/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... Good working, hands on and troubleshooting experience, on Azure Data bricks with internal and ...

Kynite

Azure Platform Lead/ Architect

OR · On-site +1

$59.50 - $77.50/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... Azure Cloud. • Good hands on and troubleshooting experience with Linux. • Good hands on and ...

Kynite

Azure Databricks Admin

OR

$51.50 - $64/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... engineer permanent solutions, and coordinate implementation. Provide work guidance to less ...

Kynite

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... engineer permanent solutions, and coordinate implementation. • Provide work guidance to less ...

SOSi

Senior Data Scientist

OR · On-site +1

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

SOSi

Senior Data Scientist

OR

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

SOSi

Senior Data Scientist

Myrtle Point, OR

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

Kynite

AWS Data Engineer Snowflake

OR

$107.40K - $128.90K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Kynite

AWS Data Engineer Snowflake

OR · On-site

$107.40K - $128.90K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Atos

Data & AI Technical Advisor - Databricks

OR · On-site +1

Maintain and advance Databricks certifications (e.g., Databricks Certified Data Engineer ... Knowledge of integration with other technologies such as SAP, GCP, Azure, AWS, and enterprise data ...

Atos

Data & AI Technical Advisor - Databricks

OR · On-site +1

Maintain and advance Databricks certifications (e.g., Databricks Certified Data Engineer ... Knowledge of integration with other technologies such as SAP, GCP, Azure, AWS, and enterprise data ...

SOSi

Data Scientist

Myrtle Point, OR

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment

SOSi

Data Scientist

OR

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment

SOSi

Data Scientist

OR · On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment

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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 May 30, 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 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 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 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.

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Infographic showing various Azure Data Engineer job openings in Remote, OR as of May 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 75% Physical, 10% Hybrid, and 15% Remote job distribution, with an average salary of $129,588 per year, or $62.3 per hour.
Data Engineer-Kiewit Nuclear Solutions 1

Data Engineer-Kiewit Nuclear Solutions 1

Kiewit Corporation

Remote

$107.40K - $128.90K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Kiewit Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

14th of 77 rated construction

Job description

Requisition ID: 180211 

Job Level: Mid Level 

Home District/Group: Kiewit Nuclear Solutions 

Department: Technology Group 

Market: Nuclear 

Employment Type: Full Time 
 

Position Overview

Kiewit is seeking a Power BI Developer to architect, design, and deliver enterprise-grade analytics solutions supporting complex EPC projects across the organization. This is a technical role that involves building strong relationships with project and discipline leads and deploying complex data strategies activities across Kiewit's business functions. This role operates within the Digital Project Execution (DPE) team and will collaborate closely with data engineers, solution architects, project leadership, and technology teams to deliver production-grade BI solutions that drive operational decisions on major construction programs.

District Overview

This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions. 

Location

This is a remote position that may require some travel. 

#LI

Responsibilities

Power BI Development

  • Develop interactive dashboards for project and field use
  • Implement row-level security (RLS), object-level security (OLS), and governance standards
  • Deploy and manage solutions within Power BI capacities
  • Configure and optimize data gateways
  • Manage workspaces, deployment pipelines, and versioning strategies
  • Design and develop scalable Power BI datasets using modeling best practices
  • Build optimized semantic models supporting enterprise-scale reporting
  • Implement incremental refresh, aggregation tables, composite models, and DirectQuery/Import hybrid architectures
  • Engineer high-performance DAX measures for complex business logic
  • Troubleshoot and refactor poorly performing models
  • Contribute to enterprise data standards and BI best practices

Data Integration and Engineering Collaboration

  • Work with data engineers to define optimized data contracts
  • Analyze and troubleshoot end-to-end data pipelines
  • Contribute to ELT design patterns across:
    • Azure Data Lake (ADLS Gen2)
    • Azure Databricks (Spark / PySpark / Spark SQL)
    • Azure Data Factory
    • SQL Server / Azure SQL
  • Ensure datasets are structured for performance, scalability, and reusability
Qualifications

Technology stack

Primary:

  • Power BI
  • Power BI Premium / Embedded
  • Azure Databricks (PySpark, Spark SQL)
  • Azure Data Lake
  • Azure Data Factory
  • SQL Server
  • Snowflake

Supporting:

  • Python
  • Git (source control)
  • CI/CD deployment pipelines
  • Data modeling and warehousing frameworks

Required SKILLS AND ABILITIES

  • Strong PowerBi experience is required including PowerBI Premium or Embedded
  • Programming: Expert level SQL, PL/SQL, Experienced Python skills (with a strong track record of optimizing complex Power BI models for performance and scalability)
  • Procient in writing advanced / complex SQL, expertise in optimization of SQL queries preferred.
  • Familiarity with the EPC industry required (Engineering or Construction)
  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.
  • Proven ability to understand complex business rules and processes and then build integration processes and database views to represent those rules and processes.
  • Preferred experience in secondary tools such as Azure Databricks, Visual studio, Azure Data Factory, etc.
  • Excellent written and strong oral communication skills.
  • Understanding of ETL fundamentals and solutions.
  • Should be procient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required.
  • Experience in Python/Pyspark and Spark SQL (primary languages used in our solutions).
  • Experience in troubleshooting data issues and analyzing end to end data pipelines.
  • Strong experience developing data analytics and visualizations with transformation and aggregation from multiple formats for analyzing and uncovering insights / intelligence for project teams.
  • Familiar with source control and version control systems
  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.
  • Proven ability to understand complex business rules and processes.
  • Experience with creation of technical documentation for Functional Requirements, Scope documents, Technical Design, and Business Process Modeling etc.

Industry Specific Experience:  

  • 8+ years of experience in BI / data analytics

Other Requirements:
    Regular, reliable attendance
    Work productively and meet deadlines timely
    Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
    Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
    Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
    FIELD ROLES ONLY May work at various different locations and conditions may vary

Base Compensation: $136,000/yr - $142,000/yr

(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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