1

Executive Databricks Developer Jobs in Seattle, WA

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

... Databricks for our customers. As a technical leader, the person will assist with setting the ... Defining data roadmaps at the executive level for clients and detailed planning of data and AI ...

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

... Databricks for our customers. As a technical leader, the person will assist with setting the ... Defining data roadmaps at the executive level for clients and detailed planning of data and AI ...

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... pair programming, and knowledge sharing. * Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven ...

Data Engineer - Senior/Lead

Seattle, WA · On-site

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We work alongside executives, product managers, customer strategy, and sales strategy partners to ... Databricks where they fit). * Participate in the team's on-call rotation to address production data ...

New Glenn - Principal Software Engineer

Seattle, WA · On-site

$230K - $323K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... * Collaborate with other engineers and organization leaders (enterprise technology, central ... Utilize a diverse range of technologies such as DynamoDB, RDS, SQS, SNS, React, Java, DataBricks ...

Senior Data Analyst

Seattle, WA

$114K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create intuitive executive dashboards and operational reports using visualization tools like ... Partner with engineering and product teams to define, instrument, and validate key metrics for new ...

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create intuitive executive dashboards and operational reports using visualization tools like ... Partner with engineering and product teams to define, instrument, and validate key metrics for new ...

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create intuitive executive dashboards and operational reports using visualization tools like ... Partner with engineering and product teams to define, instrument, and validate key metrics for new ...

Director, Data Science

Seattle, WA · On-site

$201K - $281K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Working closely with Product, Engineering, Clinical, and executive leadership, the Director ... Experience with Kubernetes, Databricks, Flyte, or comparable cloud-native data science platforms ...

Showing results 41-60

Executive Databricks Developer information

What are the most commonly searched types of Databricks Developer jobs in Seattle, WA?

The most popular types of Databricks Developer jobs in Seattle, WA are:

What are popular job titles related to Executive Databricks Developer jobs in Seattle, WA?

For Executive Databricks Developer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Executive Databricks Developer jobs in Seattle, WA look for?

The top searched job categories for Executive Databricks Developer jobs in Seattle, WA are:

Infographic showing various Executive Databricks Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Senior Staff Forward Deployment Engineer

SPAR Information Systems LLC

Bellevue, WA • On-site

$117K - $162K/yr

Contractor

Re-posted 16 days ago


Job description

About the Role
Client is building founding Forward Deployment Engineering team, and we're looking for seasoned engineers to set the bar. As a Senior/Staff FDE, you sit at the intersection of engineering and the customer. You embed directly with internal business teams and external partners to take powerful platforms — AI/GenAI tools, data products, and custom integrations — and turn them into working solutions that deliver real outcomes. You are part builder, part problem-solver, and part trusted advisor: writing production code one day, mapping a messy real-world workflow the next, and advising senior stakeholders on strategy by the end of the week.
This is a high-impact role for an experienced engineer who has done the work before, thrives in ambiguity, and operates with little oversight. As one of the first FDEs, you won't just deploy solutions — you'll define how this team works: the playbooks, the standards, the tooling, and the bar for everyone who follows. You'll also mentor more junior engineers as the team scales.
What You'll Do
• Embed with internal teams and external customers to understand their workflows, pain points, and goals — then design and deploy solutions that fit.
• Build production-quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.
• Prototype rapid prototypes and proofs-of-concept, iterate based on direct user feedback, and move them into reliable, scalable production.
• Integrate data pipelines, APIs, and third-party systems, handling the real-world messiness of enterprise environments.
• Partner with end users and stakeholders — running demos, gathering requirements, troubleshooting live, and translating technical concepts into business value.
• Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.
• Monitor and improve solutions for reliability, performance, and adoption after launch — you own outcomes, not just deliverables.
• Establish the playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows.
What You'll Bring
• Experience: 8+ years building and shipping software in production, including significant time owning complex, ambiguous projects end-to-end with minimal supervision.
• Technical depth: Deep, hands-on programming expertise (e.g., Python, JavaScript/TypeScript, Java, or Go), strong system design judgment, and fluency working across the full stack and with APIs.
• Platform fluency: Proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows). You bring real breadth and adapt quickly to the right tool for the problem.
• Customer-facing track record: A track record of customer-facing or forward-deployed work — you've shipped solutions directly with end users, navigated enterprise complexity, and earned the trust of senior stakeholders.
• Leadership: You've led projects, set technical direction, and raised the bar for those around you — formally or informally.
• Communication: Exceptional written and verbal communication; you translate fluidly between deep technical detail and executive-level business value.
• Bias for action: You ship, learn, and iterate quickly at a high quality bar, and you bring order to ambiguous, fast-moving situations.
Nice to Have
• Experience deploying AI/ML or LLM-based solutions in an enterprise setting.
• Cloud experience (AWS, GCP, or Azure) and familiarity with CI/CD and containerization.
• Experience as a founding or early member of a new team or function.
• Telecommunications or large-scale enterprise data domain knowledge.