DoorDash

DoorDash

Senior Software Engineer, Spark Platform

US · Senior · Contract

Sponsorship not specified$160k-$235kDetected 5 days ago
PythonJavaScalaDistributed SystemsSQLDatabricksKubernetesSite Reliability EngineeringRESTMachine LearningSparkData EngineeringLogisticsEHR/EMRMentoring

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 73 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 53%

Of 34 labor certifications old enough to have been used, 16 expired without the employer filing the next step. Median time from filing to decision: 481 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

125 transfer filings in the last year, covering 125 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve.
  • Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling.
  • As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond.

Responsibilities

  • You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability - making the architectural calls that compound across the platform's lifetime.
  • Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale.
  • Partner with the Engineering Manager on technical roadmap, hiring, interview design, and team shape as the team continues to grow.
  • Uplevel the rest of the team through design reviews, mentorship, and raising the bar on what we ship.

Requirements

  • Familiarity with data lake table formats such as Apache Iceberg or Delta Lake, and with the query and SQL engines that read them.
  • Track record of acting as a technical leader on a platform team - setting direction, mentoring, and partnering with management on roadmap and hiring.
  • Professional experience with Scala, Java, Python, or Go
  • You are located or willing to relocate to the Bay Area, Seattle, or NYC.

Compensation

  • The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
  • Base salary is localized according to an employee's work location.
  • In addition to base salary, the compensation for this role includes opportunities for equity grants.
  • flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles:

Benefits

  • In addition to base salary, the compensation for this role includes opportunities for equity grants.
  • DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
  • To learn more about our benefits, visit our careers page here.
  • See below for paid time off details:

Company info

  • The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem - the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads.
  • Represent Spark Platform in cross-team architecture forums and shape how data, analytics, and ML workloads land on the platform.
  • B.S., M.S., or PhD in Computer Science or equivalent.
  • 6+ years of industry experience designing and operating distributed systems at scale.
  • Deep, hands-on experience with Apache Spark - internals, query execution, shuffle, the executor/driver model - at platform scale on Amazon EMR, Databricks, or an in-house deployment, with a focus on platform operations (runtime upgrades, cluster lifecycle, shuffle, observability, multi-tenant scheduling) rather than authoring individual Spark jobs.
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This listing is sourced directly from DoorDash's careers page and normalized into a canonical job model.