Robinhood

Senior Data Engineer

Robinhood

full-time

Posted on:

Location Type: Office

Location: Menlo Park • California • 🇺🇸 United States

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Salary

💰 $187,000 - $198,000 per year

Job Level

Senior

Tech Stack

AirflowOpen SourcePythonSparkSQL

About the role

  • Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow.
  • Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake.
  • Partner with upstream engineering teams to enhance data generation patterns.
  • Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models.
  • Ideate and contribute to shared data engineering tooling and standards.
  • Define and promote data engineering best practices across the company.

Requirements

  • 5+ years of professional experience building end-to-end data pipelines
  • Proven ability to implement software engineering-caliber code (preferably Python)
  • Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
  • Strong SQL (Presto, Spark SQL, etc) skills.
  • Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
  • Expert collaborator with the ability to democratize data through actionable insights and solutions.
Benefits
  • Market competitive and pay equity-focused compensation structure
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Annual lifestyle wallet for personal wellness, learning and development, and more!
  • Lifetime maximum benefit for family forming and fertility benefits
  • Dedicated mental health support for employees and eligible dependents
  • Generous time away including company holidays, paid time off, sick time, parental leave, and more!
  • Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSparkAirflowSQLPrestoSpark SQLFlinkdata pipelinesdata modelingdata engineering best practices
Soft skills
collaborationproblem-solvingcommunicationleadershipintuitive designdemocratization of dataactionable insightscreativityadaptabilityorganizational skills
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