eBay

eBay

Data Engineer

Toronto · Mid

Sponsorship not specifiedDetected 14 days ago
PythonJavaScalaDistributed SystemsData StructuresAlgorithmsNoSQLDatabricksAWSKafkaSparkAirflowdbtData EngineeringData ScienceAI OrchestrationAccessibilityAgileProblem Solving

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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 146 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

eBay Inc. obtained a prevailing wage determination for Market Research Analysts and Marketing Specialists in Austin, TEXAS on 2026-06-08. No matching green-card filing appears in our data yet. The determination expires in 0 days (2026-09-05), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 93%

Of 44 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 480 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

56 transfer filings in the last year, covering 56 workers. Median labor-condition decision: 8 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're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
  • You will work with modern data technologies including Kafka, Flink, Spark, Databricks, Airflow, dbt, and AWS, solving challenging engineering problems where scalability, performance, reliability, and data accuracy are essential.
  • Additional Details The base pay range for this position is expected in the range below: C$110,400 - C$147,400 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.

Responsibilities

  • Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.

Compensation

  • Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.
  • C$110,400 - C$147,400
  • The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave).

Benefits

  • Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, and disability, or other legally protected status.

Company info

  • 3+ years of professional experience in software engineering or data engineering, with a focus on building data pipelines, distributed systems, or backend services.
  • B.S. or M.S. in Computer Science or a related technical discipline, or equivalent practical experience.
  • Strong programming experience with Python, Java, and/or Scala, supported by solid computer science fundamentals.
  • Strong understanding of data structures, algorithms, concurrency, and multithreaded programming.
  • Hands-on experience building distributed data processing systems using technologies such as Kafka, Spark, and Flink.
  • Experience developing and operating production data workloads using Databricks.
  • Hands-on experience designing and deploying solutions in AWS or a comparable cloud environment.
  • Experience building and managing data workflows using Apache Airflow.
  • Experience developing data transformations using dbt or similar frameworks.
  • Familiarity with data observability, quality, and reliability technologies such as Monte Carlo, Great Expectations, or equivalent tools.
  • Solid understanding of distributed systems architecture, relational databases, data modeling, and NoSQL technologies.
  • Strong software engineering fundamentals, including object-oriented design, design patterns, testing, and production support.
  • Strong problem-solving skills and the ability to identify, diagnose, and resolve complex data and distributed-system issues.
  • Ability to communicate effectively and collaborate across Product, Data Science, Analytics, and Engineering organizations.

Equal opportunity

  • eBay is an equal opportunity employer.
  • If you have a need that requires accommodation, please contact us at talent@ebay.com.
  • We will make every effort to respond to your request for accommodation as soon as possible.
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This listing is sourced directly from eBay's careers page and normalized into a canonical job model.