Senior Data Engineer

Robinhood; Menlo Park (CA); On-site; USD 187,000 - 198,000; Full time

Benefits offered by this job

100% paid health insurance

Annual lifestyle wallet

Mental health support

Generous time away

Job summary

I did my part and supported the Regular Toilet is searching for a Data Engineer in Menlo Park, California. This role involves defining key datasets and building scalable data pipelines to support analytics and decision-making across the organization.

The ideal candidate will have over 5 years of experience in data engineering, a strong proficiency in Python and SQL, and an ability to collaborate effectively. We offer competitive compensation, including paid health insurance and generous annual leave.

Qualifications

• 5+ years of professional experience building end-to-end data pipelines.
• Proven ability to implement software engineering-caliber code (preferably Python).
• Expert at building large-scale data pipelines using open source frameworks.

Responsibilities

• Help define and build key datasets across all product areas.
• Build scalable data pipelines using Python, Spark, and Airflow.
• Partner with engineering teams to enhance data generation patterns.

Skills

Building end-to-end data pipelines

Python proficiency

Experience with Spark

Strong SQL skills

Data infrastructure problem-solving

Collaboration and democratization of data

Tools

Airflow

Flink

Job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products. You’ll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What you’ll do

• 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.

What you bring

• 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.

What we offer

• 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

Compensation

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

• Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $187,000 — $198,000 USD
• Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $165,000 — $174,600 USD
• Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $146,000 — $154,800 USD

Learn more about our Total Rewards.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review Privacy Policy for your country of application.