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Remote Databricks Data Engineer Jobs in Oregon (NOW HIRING)

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 ...

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... Partner closely with Data Engineering to optimize code performance and scale analytical workflows.

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... Partner closely with Data Engineering to optimize code performance and scale analytical workflows.

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

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 ...

Technical execution across Databricks, Airflow, SQL, PySpark , and related data infrastructure ... If the remote work is performed outside of these offices, income may be subject to New York State ...

Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is ... TensorFlow Developer Certification. Additional Information Work Environment * Full remote ...

Solutions Architect

OR · On-site +1

$63 - $83/hr

Solutions Architect Data Engineering Role Overview We are looking for a Solutions Architect to join ... Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform. * Hands-on ...

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.

Distributed Systems Engineer (L4) - Data Platform

OR · On-site +1

$114K - $137K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S ... Data Developer Experience The Data Developer Experience (DDX) team at Netflix is dedicated to ...

Data Scientist

OR · On-site +1

We leverage AI/ML to give our clients, developers, and the industry complete confidence in the ... Experience with Databricks ML, AWS SageMaker, Azure ML, or similar managed ML platforms.

Finance Data Platform Specialist

OR · On-site +1

$115K - $130K/yr

Work closely with Data Engineers and Data Architects to clarify business requirements and validate ... Experience with Databricks, Azure, SQL Server, or modern cloud data platforms. * Familiarity with ...

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

This is a senior individual contributor role open to remote candidates across the United States ... Partnering with Engineering to improve upstream data quality and contracts. * Leading cross ...

Senior Software Engineer II

OR · On-site +1

$180K - $210K/yr

Strong partnerships with Product and Data Science ensure every technical decision is aligned with ... Cassandra, Pub/Sub, Bigtable, Databricks #LI-Remote Benefits in our US offices: * Discretionary ...

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

Partnering closely with our Servicing product management, operations, engineering, and ML teams ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... engineer permanent solutions, and coordinate implementation. • Provide work guidance to less ...

Showing results 21-40

Remote Databricks Data Engineer information

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 Oregon?

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

What are popular job titles related to Remote Databricks Data Engineer jobs in Oregon?

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

What job categories do people searching Remote Databricks Data Engineer jobs in Oregon look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Oregon are:

What cities in Oregon are hiring for Remote Databricks Data Engineer jobs?

Cities in Oregon with the most Remote Databricks Data Engineer job openings:

CTO, Data Platforms

Nimble Gravity

OR • On-site, Remote

Full-time

Re-posted 25 days ago


Job description

We're looking for a technology leader who knows data platforms deeply, has an opinion about the broader data platform landscape, and can turn that conviction into real engagements, real revenue, and stellar enablement for data architects who know how to deliver. 

The CTO, Data Platforms owns Nimble Gravity's technology strategy and execution across our data platform ecosystem, with Databricks and Microsoft Fabric as our co-leads and broader ownership across adjacent platforms. This is a hybrid role: part technology leader, part vendor partner, part trusted advisor to delivery and growth. You'll spend your time setting platform direction, enabling architects and engineers, and showing up in client-facing pre-sales conversations where credibility wins or loses the deal. You report to the CTO of Nimble Gravity and are the single point of accountability for everything data platforms at Nimble Gravity. 

The Opportunity 

Our clients need help modernizing legacy warehouses, untangling messy integration estates, and trying to make data ready for production AI. 

Nimble Gravity is built for this moment. We have deep Databricks delivery experience, an established Microsoft partnership, and Anthropic partner status that puts Claude-powered data products within reach for our clients. The CTO, Data Platforms turns that foundation into a clear, defensible, repeatable practice, setting the direction, raising the delivery floor, sharpening the pre-sales motion, and converting platform credibility into pipeline and signed engagements. 

Data Platform Strategy and Technology Direction 

You are the voice of Nimble Gravity on data platforms internally and externally. You set the point of view on where Databricks, Fabric, and adjacent platforms fit, where they don't, and how Nimble Gravity will deliver on each. You stay close enough to the technology to be credible with architects and engineers, and far enough above it to set direction for the firm. 

Delivery Enablement 

You define reference architectures, accelerators, and patterns that our data 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 platform) engagement leaves us with reusable assets, not just delivered code. You partner with our delivery leadership to keep quality high as we scale. 

Pre-Sales and Growth Partnership 

You show up where credibility wins deals. You partner with our growth team on qualified opportunities, lead technical discovery, shape proposals, and stand up in front of client architects and CTOs to make the case for Nimble Gravity. You bring conviction to platform selection conversations and help clients see the path from current state to a data foundation that's ready for AI. You influence pipeline as a leading indicator, partner-sourced opportunities, expansion at existing accounts, and new logos where data platform expertise is the wedge. 

Vendor Partnerships 

You are our primary technical face to Databricks and to the Microsoft data platform organization. You build and maintain the working relationships with Databricks field SAs, partner managers, and product leadership, and with their counterparts in the Microsoft Fabric ecosystem including FastTrack, partner managers, and product teams that turn into joint pursuits and co-sell motion. You coordinate cleanly with our broader Microsoft and Anthropic partner motions, since most modern data platform opportunities involve all three. You keep us sharp on Databricks and Fabric roadmaps, new capabilities, and partner program mechanics. 

Responsibilities 

  • Own the data platform technology strategy end to end. Define Nimble Gravity's point of view on Databricks, Microsoft Fabric, and adjacent data platforms. Codify which platforms we lead with, where we partner, and where we walk away. Update the strategy as the market moves.
  • Lead on Databricks. Serve as one of the firm's senior technical authorities on Databricks Unity Catalog, Delta Lake, Lakehouse Federation, MLflow, Mosaic AI, Genie, DLT, and the partner program. Maintain a credible operator's view on what's production-ready and what isn't.
  • Lead on Microsoft Fabric. Serve as one of the firm's senior technical authorities on Microsoft Fabric OneLake, Lakehouse, Warehouse, Real-Time Intelligence, Data Factory, and the Fabric partner program. Stay current on Synapse, BigQuery, and the open table format ecosystem (Delta, Iceberg, Hudi), and make sure our architects can navigate multi-platform realities at our clients without ideology getting in the way.
  • Enable our existing delivery team. Define reference architectures, accelerators, code patterns, and quality bars for data platform engagements. Run internal enablement that sharpens the architects and engineers we already have, and makes them more effective on every engagement.
  • Drive pre-sales credibility. Lead technical discovery on qualified data platform opportunities. Shape proposals, scope engagements, and stand up in front of client CTOs, Chief Data Officers, and architecture leads. Be the technical reason a client picks Nimble Gravity.
  • Partner with the growth team. Work hand in glove with our sales leadership and account executives. Translate platform strategy into specific account plays. Identify expansion paths at existing MSA accounts. Influence pipeline and shorten sales cycles by being credible in the room early.
  • Own the Databricks and Microsoft Fabric partner relationships. Serve as the senior Nimble Gravity contact for Databricks and Microsoft Fabric field, partner, and product teams. Drive joint account planning, co-sell motion, deal registration, and partner program advancement with both. Coordinate with our Anthropic and broader Microsoft partner leads on opportunities that touch multiple platforms.
  • Capture and codify learnings. Turn every significant engagement into reusable assets - reference architectures, case studies, accelerators, ROI models, vision artifacts. Feed those back into the next pursuit so every cycle compounds.
  • Position the data platform offer portfolio. Shape and refine Nimble Gravity's data platform offerings modernization, migration, lakehouse build-outs, governance, AI-ready data foundations. Adapt offerings to specific client situations and to where our partner ecosystem creates the most leverage.
  • Cross-functional collaboration. Partner with the CTO, the office of the CTO, delivery, pre-sales, product, RevOps, and growth leadership. Coordinate cleanly with our Microsoft, Databricks, and Anthropic partner motions. Ensure smooth handoffs from sale to delivery and from delivery back into the next pursuit.
  • Market intelligence and positioning. Stay ahead of platform vendor product and program changes Databricks releases, Fabric maturation, open table formats, lakehouse-vs-warehouse positioning. Brief internal teams. Adjust our positioning fast when the market moves.
  • Represent Nimble Gravity in the data platform ecosystem. Show up at Databricks Data + AI Summit, Microsoft Ignite and Build, FabCon, partner briefings, joint customer engagements, and selected industry events. Be a credible, technical, business-literate face of Nimble Gravity that platform vendors want to bring into their accounts. 

Qualifications and Experience 

  • 10+ years of relevant experience, with a clear arc from hands-on data engineering or data architecture into technology leadership.
  • Deep, current Databricks expertise. You can defend an architecture decision in front of a client architect and a Databricks SA in the same meeting. Databricks certifications and field experience are strong signals.
  • Deep, current Microsoft Fabric expertise. You can hold your own with a client's Microsoft data architecture team and a Microsoft FastTrack lead in the same conversation. Microsoft data certifications and Fabric field experience are strong signals.
  • Working command of the broader data platform landscape Synapse, Azure Data Factory, Spark, Delta, Iceberg, dbt, Airflow, Unity Catalog or equivalent governance.
  • Proven track record leading data platform practices, capabilities, or centers of excellence. You have enabled senior delivery talent to do their best work and codified how a practice operates, not just delivered a project.
  • Demonstrated success partnering with sales and growth teams in a consulting or professional services environment. You can carry a technical conversation in pre-sales and you know how that conversation converts to revenue.
  • Experience working with platform vendor partner programs including deal registration, partner tiers, co-sell mechanics, partner-sourced versus partner-attached deals. Direct Databricks and Microsoft partner experience are strong pluses.
  • Working knowledge of how data platforms feed production AI retrieval, evaluation, governance, agentic systems, and where AI delivers measurable ROI on top of a modern data foundation.
  • Strong opinions, loosely held. You can defend a platform choice with conviction and change your mind when the evidence warrants it.
  • Excellent written and verbal communication. You can write an executive-level vision document and a technical reference architecture in the same week, and both will be sharp.
  • Experience defining best-in-class delivery processes and being hands-on enough to drive them through to adoption.
  • Demonstrated experience leading others in an entrepreneurial environment to achieve high performance. You can lead a team and you can ship through one.
  • Fluent English required; Spanish proficiency a plus.
  • Experience with revenue operations tools and systems; HubSpot preferred.
  • Self-starter who thrives in a fast-paced environment focused on customer growth.
  • Ability to work in the US and travel as needed; willing to spend meaningful time on site with clients, vendors, and at industry events. 

Why This Role Matters 

Data platforms are the foundation everything else sits on. Without a credible data platform practice, AI engagements stall, modernization programs drift, and clients lose patience. With one, we compound - every engagement leaves us sharper, every partnership opens new doors, and every client decision strengthens our position. 

Nimble Gravity has the raw material. We have Databricks delivery scars, an established Microsoft partnership, Anthropic launch-partner status, and 20+ FSI MSAs where data platform work can be landed and expanded. The CTO, Data Platforms is the person who turns that raw material into a durable, defensible practice. If you want to own one of the most important technical seats in modern data and AI consulting, this is it. 

About Nimble Gravity 

Nimble Gravity is a data, AI, and digital engineering consultancy of approximately 250 people. We blend business insight with technical firepower to deliver real-world outcomes for ambitious leaders. We dive into complexity, move fast, and build what matters. Strategy, executed. 

We are a launch partner for Claude on Azure Foundry (GA November 2025), we have 20+ Claude-certified architects, and we hold MSAs with 20+ financial services accounts where data platform and AI engagements can be landed and expanded. Few firms have earned credibility across Microsoft, Databricks, and Anthropic at the FSI enterprise level. We have. The CTO, Data Platforms is the seat that compounds that advantage on the data side. 

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.