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Flexible Databricks Data Engineer Jobs in Oregon

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Wheelhouse believes a more flexible & connected world is both inevitable & important, and we build ... We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine.

US Bank

Infrastructure Data Analytics Engineer

Gresham, OR

$121K - $145K/yr

Experience with Azure, AWS, Databricks, Snowflake, or enterprise data platforms. * Knowledge of ... Technical Skills Programming & Analytics * SQL (Advanced) * Python * Alteryx * Power BI * Excel ...

Netflix

Staff Data Engineer (L6) - Ads

OR · On-site +1

$510K - $820K/yr

About the team Ads Data Engineering is at the core of building a data ecosystem that powers Netflix ... Full-time salaried employees are immediately entitled to flexible time off. See more details about ...

New

YipitData

Senior Software Engineer (Cloud Infrastructure)

OR · On-site +1

$108K - $147K/yr

... native and data intensive applications and systems, working closely with Databricks, OpenAI ... We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events ...

Amerilife Group, LLC

Senior Manager, Finance Data Platform

OR · On-site +1

$108K - $148K/yr

Databricks & Enterprise Data Engineering * Lead the modernization and migration of Finance data capabilities onto the enterpriseDatabricks Lakehouseplatform. * Design and oversee scalable ingestion ...

Nimble Gravity

CTO, Data Platforms

OR · On-site +1

... engineers and architects use on every engagement. You raise the technical bar by mentoring senior delivery talent, running internal enablement, and making sure every Databricks (and broader data ...

phData

Principal Applied AI Solutions Architect

OR · On-site +1

You will collaborate closely with clients, Sales, data scientists, ML engineers, data engineers ... Hands-on experience with big data and analytics platforms such as Spark, Snowflake, Databricks ...

Arbital Health

AI Engineer

OR · On-site +1

$155K - $180K/yr

Arbital AI allows users to interact with complex VBC contracts & performance data in natural ... AWS, GCP, Databricks, Airflow, Datadog AI: Vertex AI, GCP Model Garden, MLflow, Databricks Vector ...

YipitData

Senior Data Engineering Manager

OR · On-site +1

Technical execution across Databricks, Airflow, SQL, PySpark , and related data infrastructure ... We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events ...

Striim, Inc.

Field Engineer (English/Spanish)

OR · On-site +1

A Field Engineer will partner with a Technical Account Manager to create a guided customer journey ... Knowledge of Snowflake, Google BigQuery, Databricks, or modern cloud data platforms is preferred.

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

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All JobsDatabricks Data Engineer JobsFlexible Databricks Data Engineer JobsFlexible Databricks Data Engineer Jobs in Oregon

Flexible Databricks Data Engineer information

What is the difference between Flexible Databricks Data Engineer vs Cloud Data Engineer?

AspectFlexible Databricks Data EngineerCloud Data Engineer
CredentialsProficiency in Databricks, Spark, SQL, Python, cloud platforms (AWS, Azure, GCP)Cloud platform certifications (AWS, Azure, GCP), SQL, Python, data pipeline skills
Work EnvironmentData engineering within Databricks environment, collaborative teams, cloud infrastructureDesigning and managing data solutions on cloud platforms, often across multiple services
Industry UsageTech, finance, healthcare, retail using Databricks for big data processingBroad industry use, focusing on cloud infrastructure and data pipelines

Flexible Databricks Data Engineers specialize in building data pipelines within the Databricks platform, leveraging Spark and cloud services. Cloud Data Engineers focus on designing and maintaining data solutions across various cloud environments. Both roles require cloud and SQL skills, but the Databricks Data Engineer emphasizes Databricks-specific tools and Spark expertise.

What are the most commonly searched types of Databricks Data Engineer jobs in Oregon?

The most popular types of Databricks Data Engineer jobs in Oregon are:

Flexible Databricks Data Engineer jobs near you

Senior Data Engineer

Wheelhouse

OR • On-site, Remote

$105K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

 
Job Description
Wheelhouse is a revenue management platform for the $500B+ flex rental space. Our technology empowers short & mid-length stay operators, who manage single-family homes, apartment buildings, and (in some cases) hotels - a broad & massive addressable market. Wheelhouse believes a more flexible & connected world is both inevitable & important, and we build technology to make sure the businesses that enable this lifestyle & society can thrive.
 
As a team, we enjoy shipping products our customers love, on time or ahead of schedule, while balancing work/life & having fun together. We're best described as transparent & collaborative, and we strive to set our teammates up for success - both professionally & personally. We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation" company, who believes that "healthy hustle" is the key to good growth.
 
At our core, we process massive amounts of data to give our clients a competitive edge. We track calendar data for over 14 million listings worldwide, ingesting the future calendar of availability and pricing for every single listing, every single day. This translates to a multi-terabyte, highly dynamic dataset.
 
We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine. Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as well as Athena, you will ensure our data pipelines are robust, scalable, and highly optimized. You will not only supervise and improve our existing daily ingestion but also design systems to integrate new data sources and seamlessly deliver this data to our core application.
 
Your mission is to guarantee the reliability, speed, and scale of our data infrastructure. You will be the technical guardian of our multi-terabyte dataset, ensuring that as we grow to track even more listings and add new data sources, our ingestion engine scales gracefully and cost-effectively without missing a beat. Our revenue management algorithms rely entirely on the daily calendar sync of these 14 million listings to price our clients' properties accurately. If our data pipelines slow down or fail, our core product cannot function.
 
We're looking for someone who:
Works independently and takes ownership: You don't wait to be told what to optimize. You treat the data infrastructure as your own product, proactively identifying areas for improvement and driving them to completion.
Thinks in systems: You understand that scaling isn't just about writing faster code; it's about how Resque, PostgreSQL, and our AWS infrastructure interact. You see the big picture and understand the cascading effects of your changes.
Stays calm under pressure: Because this daily data sync is our lifeblood, pipeline hiccups are critical. You can troubleshoot complex, multi-terabyte issues methodically and keep a cool head when the pressure is on.
Communicates technical concepts clearly: You can easily translate complex data engineering constraints and architecture decisions into plain language for the wider engineering and product teams.
Values pragmatism over perfection: You know when to invest in an elegant, long-term architectural solution, and when the business just needs a robust, practical fix to keep the daily sync running smoothly.
Is obsessed with observability: You believe a system isn't finished until it's properly monitored. You build alerts and dashboards to catch anomalies and bottlenecks before they ever impact our clients.
Is super detail oriented: You intrinsically see that certain data problems can be needles in haystacks and you are process driven to build safeguards to flag the vast majority of issues before our customers notice the same.
What you'll be doing
  • Architect, optimize, and supervise the daily ingestion pipelines that process calendar data for 14+ million listings.
  • Tune and scale our AWS RDS PostgreSQL and Aurora databases to handle extreme high-throughput read/write operations and multi-TB storage.
  • Optimize background job orchestration to ensure timely and efficient data processing.
  • Design and build robust ETL processes to integrate new, complex data sources into our ecosystem.
  • Collaborate with application engineers to make diverse versions and aggregations of our data easily accessible to the core application.
  • Apply DevOps best practices to maintain and improve our AWS infrastructure, CI/CD pipelines, and infrastructure-as-code.
  • Build comprehensive monitoring, alerting, and observability tooling to catch data bottlenecks before they impact the business.
Requirements
  • 5+ years of Data Engineering or Backend Engineering experience, specifically dealing with massive, high-velocity datasets (multi-TB scale) and 10+ years overall engineering experience at technology companies.
  • Deep database expertise: Advanced knowledge of relational databases, specifically PostgreSQL and AWS Aurora. You must know how to tune databases, optimize complex queries, and manage large-scale indexing.
  • Strong programming skills: Proficiency in Ruby and Ruby on Rails (or a strong willingness to learn, backed by expert-level experience in a similar language like Python) to navigate our core stack.
  • Job Orchestration: Experience with background processing frameworks at scale (Resque, Sidekiq, Celery, or similar).
  • DevOps & Cloud: Hands-on experience with AWS cloud services, infrastructure provisioning (Terraform/CloudFormation), and CI/CD pipelines.
  • Data Modeling: Strong ability to design data models that balance fast ingestion with efficient application querying.
  • Problem Solver: A track record of identifying performance bottlenecks in complex distributed systems and implementing elegant solutions.
  • Remote DNA: Demonstrated ability to work autonomously, communicate asynchronously, and manage your own "healthy hustle."
Why Join Us
  • Own the big data pipelines in a fast-growing SaaS company.
  • Directly improve the reliability and usability of our product.
  • Enjoy the power to shape your own projects and help set the direction for new development.
  • Collaborative, small-team environment where your impact is highly visible
Perks and Benefits
  • The expected base salary range for this position is between $156,000 and $180,000 depending on experience.
  • Competitive salary, cash bonus potential and equity
  • Full medical, dental, and vision benefits for each US employee
  • Fidelity 401k available for each US employee
  • Unlimited PTO
  • And...more!

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