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Data Engineer Data Bricks Jobs in Portland, OR (NOW HIRING)

Data Engineer

Portland, OR · On-site

$86K - $153.67K/yr

Job Requisition ID # 26WD97843 Position Overview We are looking for a Data Engineer to design, build, maintain, monitor, integrate, and test scalable data pipelines in production. In this role, you ...

We are looking for a Data Engineer to support our Enterprise Data Management team. If you are looking for an opportunity to make a difference as we develop scalable and strategic solutions to support ...

Experience with data engineering concepts and tools, including data bricks and data fabric technologies. * Familiarity with scaled agile frameworks and product lifecycle management. * Background in ...

Data Engineer

Beaverton, OR · Hybrid

$120.90K - $145.20K/yr

Job Title- Data Engineer 5 Location- Beaverton, OR, United States, 97005 Reporting Type- Onsite Duration: 9+ Months Summary GT Title: Data Engineer Requirements Typically requires a Bachelors Degree ...

Experience with data engineering concepts and tools, including data bricks and data fabric technologies. * Familiarity with scaled agile frameworks and product lifecycle management. * Background in ...

Data Engineer

Beaverton, OR · On-site

$119.10K - $143.10K/yr

Job Title- Data Engineer 5 Location- Beaverton, OR, United States, 97005 Reporting Type- Onsite Duration: 9+ Months Summary GT Title: Data Engineer Requirements Typically requires a Bachelors Degree ...

Data engineer

Beaverton, OR · On-site

$120.90K - $145.20K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

Data Engineer

Portland, OR · On-site

$121.40K - $145.80K/yr

Data Engineer - Snowflake / AWS Location: - Portland, Oregon -Onsite Duration: Contract Skills: AWS, Snowflake Skill Requirements * Proficiency in snowflake for data warehousing and cloud data ...

Data engineer

Beaverton, OR · On-site

$120K - $144.10K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

Data Engineer

Beaverton, OR · On-site

$120.90K - $145.20K/yr

Data Engineer Overview As a Data Engineer within North America Supply Chain, you will be a key member of a growing and passionate group focused on collaborating across business and technology ...

Data Engineer

Portland, OR · On-site

$121.40K - $145.80K/yr

Big Data Engineer Location: Portland OR Position: Long term Role Expectations: Strong experience in Scala or Python. Experience building domain-driven microservices. Experience with data modeling in ...

Data Engineer

Portland, OR · On-site

$121.40K - $145.80K/yr

Solid expertise in AWS (data engineering services and integrations). * Experience with enterprise data warehousing and large-scale system integrations. * Some exposure to UI or data visualization ...

Data Engineer

Portland, OR · On-site

$121.40K - $145.80K/yr

Data Engineer Portland, Los Angeles, Las Vegas, Denver, Vancouver, BC What You Will Do: * Build new systems to provide real-time streaming analytics and event processing pipeline based on fast data ...

We are looking for a Senior Data Engineer to support our Enterprise Data Management team. If you are looking for an opportunity to make a difference as we develop scalable and strategic solutions to ...

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Data Engineer Data Bricks information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data engineer data bricks jobs pay per year?

As of May 28, 2026, the average yearly pay for data engineer data bricks in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Engineer specializing in Databricks, you need strong expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, SQL, cloud platforms (like AWS or Azure), and relevant certifications (such as Databricks Certified Data Engineer) is typically required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into data solutions. These skills ensure efficient data pipeline development, reliable data management, and impactful analytics in data-driven organizations.

What are some common challenges Data Engineers face when working with Databricks, and how can they be addressed?

Data Engineers working with Databricks often encounter challenges related to optimizing large-scale data pipelines, managing cluster resources efficiently, and ensuring seamless data integration across varied sources. Addressing these issues typically involves staying current with Databricks best practices, such as implementing Delta Lake for reliable data storage, using job scheduling to automate workflows, and proactively monitoring cluster performance. Collaborating closely with data scientists and analysts is also crucial to align data models and streamline the analytics process.

What are Data Engineer Data Bricks?

A Data Engineer specializing in Databricks is a professional who designs, builds, and maintains data pipelines and infrastructure using the Databricks platform. Databricks is a cloud-based data analytics platform that facilitates big data processing, machine learning, and collaborative analytics. Data Engineers use Databricks to process large datasets, automate data workflows, and support data-driven decision-making for organizations. Their responsibilities often include cleaning and transforming data, optimizing data storage, and ensuring efficient data movement across systems.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

What are popular job titles related to Data Engineer Data Bricks jobs in Portland, OR? For Data Engineer Data Bricks jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Bricks jobs in Portland, OR look for? The top searched job categories for Data Engineer Data Bricks jobs in Portland, OR are:
Data Engineer

Data Engineer

Autodesk

Portland, OR • On-site

$86K - $153.67K/yr

Full-time

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


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 184 rated software companies


Job description

Job Requisition ID #

26WD97843

Position Overview

We are looking for a Data Engineer to design, build, maintain, monitor, integrate, and test scalable data pipelines in production.

In this role, you will partner with Machine Learning Engineering, Platform Engineering, Data Analysts, and other stakeholders to deliver data pipelines that support specific business needs. Your work will contribute to strategic initiatives such as optimizing digital conversion metrics and supporting Autodesk Assistant, an LLM-driven chatbot designed to answer customer inquiries.

Our culture is built on collaboration, mutual support, and continuous learning. We encourage hands-on technical problem-solving, knowledge sharing, and ongoing personal development.

Responsibilities
  • Design, build, and maintain scalable data pipelines that support continuous data flow, analytics, and machine learning use cases

  • Develop and implement data models and schemas to ensure data integrity, accessibility, and usability

  • Manage and optimize relational and NoSQL database systems for performance and availability

  • Integrate data from multiple sources while ensuring consistency, quality, and reliability

  • Design and manage ETL processes to move and transform data across systems

  • Implement data governance practices to support data security, privacy, and compliance

  • Collaborate with data scientists, machine learning engineers, analysts, platform engineers, and business stakeholders to understand requirements and deliver effective solutions

  • Tune database and pipeline performance for efficient processing and querying of large datasets

  • Maintain clear documentation for data processes, models, architecture, and operational workflows

  • Partner with internal platform teams to build reliable, scalable, and reusable data solutions

Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience

  • Experience programming in Python, Java, Scala, or a similar language

  • Strong SQL skills and experience working with relational databases such as MySQL or PostgreSQL

  • Experience with NoSQL databases such as MongoDB, Cassandra, or similar technologies

  • Understanding of data modeling, data architecture, and ETL processes

  • Experience with big data technologies and frameworks such as Kafka, Flink, Parquet, Iceberg, or similar tools

  • Experience using workflow orchestration or ETL tools such as Apache Airflow

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud

  • Familiarity with cloud data services such as AWS Glue, EMR, Redshift, S3, BigQuery, or similar

  • Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery

  • Experience with version control systems such as Git and CI/CD pipelines

Preferred Qualifications
  • Experience in customer journey analytics, personalization, or digital conversion optimization

  • Familiarity with machine learning concepts and experience collaborating with data science or machine learning teams

  • Knowledge of real-time data processing and streaming architectures

  • Experience with Docker, Kubernetes, or other containerization and orchestration technologies

  • Relevant certifications in big data technologies, cloud platforms, or database management

  • Master's degree in Computer Science, Data Engineering, Information Technology, or a related field

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $86,000 and $153,670. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982