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Remote Databricks Data Engineer Jobs in Portland, OR

CoorsTek

AI Deployment Engineer

Hillsboro, OR · On-site +1

It's exciting to work for a company that makes the world measurably better. We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing. Job

New Relic

Lead Software Engineer - Java

Portland, OR · Remote

Your opportunity We're hiring a Lead Software Engineer for our team within New Relic's Data Platform, responsible for managing ingest into NRDB-New Relic's purpose-built telemetry datastore that

Workiva

Spring 2027 Intern - Data Analytics

Gresham, OR · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our

Hiive

Developer Experience Engineer

Vancouver, WA · On-site +1

$175K - $225K/yr

Hiive is redefining how private companies and their shareholders access liquidity. Through its institutional-grade platform, Hiive brings together buyers, sellers, and issuers to facilitate secondary

ABB

Senior Project Engineer

Portland, OR · Remote

$101K - $132K/yr

At ABB , we help industries run leaner and cleaner-and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and

City of Hillsboro, OR

Project Engineer

Hillsboro, OR · On-site +1

$103K - $136K/yr

Salary: $103,372.00 - $136,030.00 Annually Location : Civic Center, 150 E Main Street Hillsboro, OR 97123, OR Job Type: Full Time Remote Employment: Flexible/Hybrid Job Number: 2027-22 Department:

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Portland, OR

Remote Databricks Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do remote databricks data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote 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 remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

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:

What are popular job titles related to Remote Databricks Data Engineer jobs in Portland, OR?

For Remote Databricks Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Portland, OR look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Portland, OR are:

Remote Databricks Data Engineer jobs near you

Project Manager - Aerial Geospatial Operations & Delivery

Portland, OR • Remote

Robotic Data (FKA Voxelmaps)
See more jobs at Robotic Data (FKA Voxelmaps)external

$130K - $140K/yr

Full-time

Posted 11 days ago

Job description

Robotic Data is seeking an experienced Project Manager – Aerial Geospatial Operations and Delivery to lead end-to-end aerial data collection and geospatial delivery programs. This role owns project execution from planning and airborne collection through processing, QA/QC, delivery, and client acceptance.

The successful candidate will bridge technical collection teams, delivery operations, and clients while ensuring projects remain on schedule, within budget, and aligned to operational and quality objectives.
Responsibilities:
  • Lead full lifecycle management of aerial geospatial programs from planning through final delivery.
  • Own aerial collection operations including scheduling, flight coordination, collection readiness, and field execution either directly or via the Robotic Data partner network.
  • Manage delivery teams responsible for imagery, LiDAR, photogrammetry, GIS, and mapping outputs.
  • Develop and maintain project plans, schedules, budgets, and resource forecasts.
  • Utilize Smartsheet to manage dependencies, dashboards, schedules, reporting, and governance.
  • Coordinate cross-functional teams across operations, processing, engineering, and client delivery for multiple Partners.
  • Track project financials including forecasting, invoicing, margin performance, and collections.
  • Implement project KPIs and executive reporting.
  • Drive QA/QC processes and client acceptance.
  • Identify operational risks and implement mitigation plans.
  • Support proposals, estimates, and business development activities.
  • Travel up to 10% as required.
Required Skills:
  • Bachelor’s degree or equivalent professional experience.
  • Minimum 5 years’ project management experience or 10 years’ related experience.
  • 8–10+ years of geospatial, aerial mapping, or remote sensing experience.
  • Deep understanding of aerial mapping, remote sensing, LiDAR, imagery, GIS, and photogrammetry workflows.
  • Experience in managing field operations and geospatial delivery teams.
  • Strong financial, organizational, and stakeholder management skills.
  • Smartsheet experience required.
  • Excellent communication and leadership capability.
Preferred Qualifications:
  • PMP preferred.
  • ASPRS CP, CMS, or GISP certification preferred.
  • Experience supporting machine learning and large-scale mapping initiatives.
  • Experience working across distributed global teams.
Job Details:
  • Timeline: For immediate hire
  • Job Type: Full-time employee
  • Work Model: Remote
  • Schedule: Monday to Friday (availability across time zones required)
  • Salary: $130,000 to $140,000
  • Benefits: As required by law
  • Experience Required: 5+ years Project Management
DO NOT CONTACT THE HIRING MANAGER DIRECTLY, YOU MUST FOLLOW THE APPLICATIONS PROCESS
About Us: Robotic Data provides the real-world data infrastructure for Physical AI. The company combines World Data and Human Data to create high-quality datasets that enable autonomous vehicles, drones, embodied AI, humanoid robots, and other intelligent systems to understand, navigate, and operate safely in the physical world. Learn more at www.roboticdata.com.
EEO Statement: Robotic Data is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.

Disclaimer: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Robotic Data.

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