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Databricks Engineer Jobs in Oregon (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 ...

BizTek People

DevOps Engineer - Big Data/AWS

Portland, OR · On-site

$56 - $76.50/hr

Big Data Cloud Operations Administrator / Engineer We are looking for a motivated and experienced ... Zeppelin, or Databricks) * Agile/Kanban/Scrum experience * Demonstrated communication and ...

Cotiviti

Senior Data Engineer AI

$140K - $165K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... Any Databricks / AWS certifications is a big plus. * Strong SQL and data modeling skills.

Amerilife Group, LLC

OR

$125K - $145K/yr

Job Summary The Senior Data Engineer will design and develop scalable data pipelines that support ... Build and maintain PySpark pipelines in Databricks * Develop scalable data ingestion and ...

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define ... Work extensively with Databricks and various AI toolings for large-scale data processing and ...

Curana Health, Inc.

$114.40K - $137.40K/yr

Summary The Data Engineer is responsible for building, optimizing, and maintaining data pipelines ... Support data platform tools such as Azure Data Factory, Databricks, Python/Spark jobs, and version ...

General Motors

Senior Ad Ops Engineer

Salem, OR · On-site

$129.40K - $198.40K/yr

... Databricks, Snowflake, Kafka, dbt, or Airflow • Experience architecting solutions in cloud ... production-ready engineering solutions What Will Give You A Competitive Edge (Preferred ...

New

McKesson

Data Engineer

OR · On-site +1

$114.40K - $137.40K/yr

Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and ... engineering, analytics engineering, or modern data platform environments * 4+ years hands-on ...

McKesson

Data Engineer

OR · On-site +1

$114.40K - $137.40K/yr

Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and ... engineering, analytics engineering, or modern data platform environments * 4+ years hands-on ...

campus4tech

Data Engineer

Beaverton, OR · On-site

$119.10K - $143.10K/yr

Databricks AWS Apache Spark Python PySpark Previous Clients experience a plus. Any ETWs let go at the end of 05/31 can be considered since a 90 day break would be fulfilled. Skills Data engineer ...

Amerilife Group, LLC

OR

Experience with Databricks notebooks, clusters, and workflows for data science and ML * Working knowledge of PySpark for large-scale data processing and feature engineering * Advanced SQL skills ...

Logistics Management Institute

$122.21K - $180.57K/yr

Overview LMI is seeking an Enterprise Data Engineer with demonstrated experience designing and ... Experience with Microsoft Fabric, Databricks, or equivalent lakehouse platforms * Experience ...

Cardinal Health

Senior Data/AI Engineer

Salem, OR · Remote

$106.50K - $144.70K/yr

Operate fluently across Databricks and major cloud platforms (Azure, GCP). * Leverage modern AI ... Experience: 8+ years in Data Engineering, Software Engineering, or Analytics, with a proven track ...

New

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127.50K - $168K/yr

... Databricks • Apache Spark • Deep Learning Frameworks (TensorFlow, PyTorch) • Lakehouse architecture • Large-Scale Data Preprocessing • Programming (Python, SQL, C++) • LLM Models ...

Nike

Software Engineer

Beaverton, OR · On-site

Software Engineer- Nike Inc.- Beaverton, OR. Apply big data technologies, develop, configure, and ... • DataBricks • Jenkins • Automation Anywhere (BOT Tool) • Shell Scripting • Dynatrace ...

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$62.9K

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$214.6K

How much do databricks engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for databricks engineer in Oregon is $118,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $140,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications.
What are popular job titles related to Databricks Engineer jobs in Oregon? For Databricks Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Oregon look for? The top searched job categories for Databricks Engineer jobs in Oregon are:
What cities in Oregon are hiring for Databricks Engineer jobs? Cities in Oregon with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Oregon as of May 2026, with employment types broken down into 100% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $118,027 per year, or $56.7 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 15 days ago

Kiewit Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

20th 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.

What Kiewit Corporation employees say

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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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