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Remote Databricks Jobs in Redmond, WA (NOW HIRING)

Yoodli AI Roleplays

Deal Desk Lead

Seattle, WA · On-site +1

$155K - $170K/yr

Our customers include Google Cloud, Snowflake, Databricks, RingCentral, SAP, FranklinCovey ... This is a Hybrid role: 3 days in-office at our Seattle HQ (lunch included) + 2 days remote. What ...

Sparq

Senior Client Executive

Seattle, WA · On-site +1

$170K - $220K/yr

Remote-First Flexibility: Work remotely with targeted 10-25% travel to command the room, network at ... Microsoft, Databricks, Palantir, and modern data lake/data warehousing architectures. * Deep ...

Truveta

Solutions Analyst

Seattle, WA · On-site +1

... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ... Write regex queries using Databricks SQL to extract clinical concepts from clinical notes per ...

Yoodli AI Roleplays

Corporate Counsel

Seattle, WA · On-site +1

$150K - $185K/yr

Our customers include Google Cloud, Snowflake, Databricks, RingCentral, SAP, FranklinCovey ... This is a Hybrid role: 3 days in-office at our Seattle HQ (lunch included) + 2 days remote. What ...

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Remote Databricks information

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

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

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

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Remote Databricks jobs near you

Business Partner, Customer and Revenue

Veeam Software

Seattle, WA • Remote

Full-time

Posted 15 days ago

Veeam Software rating

8.9

Company rating: 8.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

39th of 245 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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