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

Data Architect (Data Platform)

Portland, OR

$67.50 - $87/hr

Specific Job Skills: * 12+ years of software engineering experience, including hands-on technical ... A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT ...

Apply big data technologies, develop, configure, and test programs, systems and solutions in order ... • DataBricks • Jenkins • Automation Anywhere (BOT Tool) • Shell Scripting • Dynatrace ...

Proven track record leading cross-functional engineering teams , enforcing best practices, and ... DATABRICKS, DELTA LAKE, PYTHON, SNOWFLAKE, SNOWPIPE / SNOWSQL, SNOWPARK, DATA MODELLING, DATA ...

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Automation Engineer

Portland, OR · Remote

$110K - $130K/yr

In this role, you'll work at the intersection of automation, data, and emerging AI/ML capabilities ... Familiarity with DataBricks * Experience guiding workstreams or mentoring team members * Experience ...

... data engineering expertise to build pipelines for structure and non-structure data and design databases using tools such as Databricks, Snowflake, NoSQL, and Vector databases in a Retrieval Augmented ...

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Databricks Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do databricks data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for databricks data engineer 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 is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.
What are the most commonly searched types of Databricks Data Engineer jobs in Portland, OR? The most popular types of Databricks Data Engineer jobs in Portland, OR are:
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What cities near Portland, OR are hiring for Databricks Data Engineer jobs? Cities near Portland, OR with the most Databricks Data Engineer job openings:
Infographic showing various Databricks Data Engineer job openings in Portland, OR as of May 2026, with employment types broken down into 95% Full Time, 1% Temporary, and 4% Contract. Highlights an 18% Physical, and 82% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.
Data Analyst (Materials Analytics)

Data Analyst (Materials Analytics)

Tiger Analytics Inc.

Beaverton, OR • On-site

Full-time

Posted 13 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We're looking for a data evangelist with hands-on SQL experience and a solid understanding of data architecture. You will thrive on empowering others through reporting and analytics, whether building solutions or mapping business processes to data. You will excel at uncovering relationships in complex data environments and simplifying technical concepts for diverse audiences.

Overview

As a Materials Data Analyst, you will play a pivotal role within the Sustainability and Materials Analytics team. You will deliver actionable data and insights to help optimize the Materials Supply Chain by matching supply with demand more efficiently and effectively.

Responsibilities

  • Integrate and embed materials metrics into data products to inform materials development decisions.
  • Partner with data owners and technical teams to expose, cleanse, and shape data for integration into operational decision-making engines and dashboards.
  • Provide ad-hoc reporting and insights to support internal strategy and stakeholder communications.
  • Establish and promote best practices for reporting processes and data management to support effective analytics and forecasting.
  • Deploy reporting and analytics within targeted areas of the business value stream to enable data-driven decisions and drive performance toward annual goals.
  • Implement decision support solutions that operationalize analytical insights for business impact.
  • Collaborate with business partners to translate requirements into actionable knowledge and support data-driven decision-making.

Skills

  • Proven ability to sift through data, identify critical information, analyze, and develop solution options
  • Strong quantitative (i.e., statistics, forecasting, simulation—strong knowledge of Excel is a must), data visualization, and communication skills
  • Demonstrated ability to think critically; strong problem-solving skills and analytical mindset
  • Change agent: ability to adapt and be flexible. Ability to manage multiple projects with competing deadlines
  • Able to influence and communicate effectively, both verbally and in writing, with team members and business stakeholders
  • Experience with requirements-gathering and reverse engineering to understand and evolve existing solutions
  • Successful candidates must be able to think strategically and creatively to assess and solve critical high-level problems. Candidates should also be comfortable navigating changes in scope and ambiguity.
  • Ability to communicate complex concepts simply, verbally, and in writing, as well as the ability to document their analysis thoroughly and clearly for diverse audiences
  • Experience in visualization (Tableau would be ideal); ability to create high-quality project reports and simple, succinct, visually compelling presentations

Requirements

  • Bachelor’s degree in Information Systems, Business, Computer Science, or a related field
  • Familiarity or experience in materials supply chain operations, product creation, materials development, or product development is a plus
  • 5 to 8 years of professional experience in data analytics or a related discipline
  • Advanced proficiency in SQL for data extraction and transformation
  • Strong experience in data wrangling with both structured and unstructured data, using tools such as Python (pandas)
  • Advanced Excel skills for data analysis, modeling, and visualization
  • Demonstrated ability to quickly learn and apply new programming languages, technologies, and frameworks
  • Experience with databases and data processing (e.g., Alteryx, SQL Server, Snowflake, Databricks)
  • Proficiency in data visualization tools such as Tableau or Power BI
  • Familiarity with version control tools and concepts, including GIT

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Disclaimer

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.