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Remote Databricks Data Engineer Jobs in Puyallup, WA

Data Processing Programmer

Renton, WA · On-site +1

$80K - $110K/yr

KP is looking for a Hybrid/Remote Data Processing Programmer . The ideal candidate possesses strong experience with Quadient Inspire, modern data hygiene platforms, and data transformation processes ...

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of ... You will build and guide a high-performing team of data scientists and machine learning engineers ...

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of ... You will build and guide a high-performing team of data scientists and machine learning engineers ...

Showing results 21-40

Remote Databricks Data Engineer information

See Puyallup, WA salary details

$47.8K

$139.3K

$190.6K

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

As of Aug 10, 2026, the average yearly pay for remote databricks data engineer in Puyallup, WA is $139,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $147,700.00 per year, depending on experience, location, and employer.

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 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 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 Puyallup, WA? The most popular types of Databricks Data Engineer jobs in Puyallup, WA are:
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Business Partner, Customer and Revenue

Veeam Software

Seattle, WA • Remote

Full-time

Posted 3 days ago

New


Veeam Software rating

8.9

Company rating: 8.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies


Job description

#LI-REMOTE #LI-JC2About the Role

A Corporate Technology Business Partner will act as a business process analyst and product owner supporting Veeam's Revenue Intelligence and ARR capability areas - including Sales Operations, Data Science and Analytics, Revenue Intelligence Operations, Sales Planning/GTM initiatives, and ARR Operations. You will lead the intake, prioritization, and execution of technology solutions across these domains, ensuring that data, platforms, and processes enable accurate reporting and measurable business outcomes.   
This role is ideal for someone who thrives at the intersection of revenue operations and technology and can translate evolving business needs into structured roadmaps, workflows, and delivered capabilities. There will be some travel a few times a year. 

This will be a hybrid role out of our Kirkland office headquarters.

What You'll Do
  • Own and manage product intake across Revenue Intelligence and ARR functions, helping teams define and refine business needs for sales planning, data quality, and executive/finance reporting
  • Maintain and prioritize the product backlog across platforms supporting sales operations, data science and analytics, customer data operations (data quality), and ARR modeling and reporting
  • Translate revenue intelligence business needs into clear requirements and user stories with defined acceptance criteria
  • Analyze and optimize current-state revenue operations processes, from sales planning and territory/quota design to data quality, ARR calculation, and reporting handoff
  • Prioritize work based on business impact, urgency, value, and dependencies with Sales Operations, Data Science and Analytics, Revenue Intelligence Operations, and Finance teams
  • Collaborate with sales operations, data science, finance, and technical owners of platforms such as Salesforce, data warehouse/BI tools, and AI-enabled analytics tools
  • Track key KPIs related to ARR accuracy, data quality, platform usage, and process efficiency to inform prioritization and measure success
  • Drive feature adoption by coordinating with enablement, change management, and training teams to support smooth transitions and end-user readiness
  • Act as the voice of the business in agile delivery processes, representing Revenue Intelligence and ARR objectives during planning, demos, and retrospectives
  • Continuously refine backlog and roadmap based on data, feedback, and shifting GTM and finance strategies 
Technologies You'll Work With
  • Familiarity with revenue and finance technology platforms, including Salesforce, BI/reporting tools (e.g., Tableau, Power BI, Databricks), data warehouse/ETL platforms, or equivalent
  • Skilled in mapping revenue operations processes and documenting requirements using tools like Lucidchart, Visio, or Miro
  • Familiar with ARR and revenue KPIs such as ARR, NRR, churn, pipeline coverage, and forecast accuracy
  • Able to contribute to and optimize integration points across CRM, data warehouse, BI/reporting, and AI/analytics platforms
  • Proficient in basic data interpretation and supporting dashboard/reporting needs from platforms like Salesforce, Tableau, Power BI, or Databricks 
What You'll Bring
  • 5+ years of experience in a role involving product ownership, business analysis, or revenue operations/technology enablement
  • Business Domain Knowledge - Strong understanding of sales operations, GTM planning, and ARR/finance reporting concepts
  • Demonstrated ability to define and manage a product backlog, write user stories, and deliver iteratively using agile methods
  • Stakeholder Engagement & Influence - Build credibility with sales operations, data science, finance, and technical partners
  • Process Analysis & Optimization - Capable of streamlining sales planning, data quality, and ARR reporting workflows
  • Business Capability Management - Understands the evolution of Revenue Intelligence capabilities, including data quality and AI-enabled analytics, and how tech supports maturity
  • Facilitation & Communication - Leads conversations that align business goals and technical constraints; documents clearly and communicates effectively
  • Familiarity with enterprise tech platforms supporting sales analytics, AI/ML builds, or ARR and financial reporting
  • Experience managing backlogs and agile delivery using Jira, Aha!, Confluence, or similar tools
Bonus Skills
  • Certifications such as CSPO, SAFe PO/PM, CBAP, or data/finance platform certifications are a plus
  • Data Analysis & KPI Development - Works with data science and finance teams to define and track ARR accuracy, data quality benchmarks, and platform ROI
  • Prior experience supporting revenue operations, sales planning, or FP&A/finance reporting initiatives is strongly preferred 

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