Robinhood
Staff Software Engineer - Data Lake Ingestion
Robinhood, Menlo Park, California, United States, 94029
About the team + roleOur team's mission at Robinhood is to empower informed decision-making, foster innovation, and drive organizational excellence through a reliable, timely, efficient, and privacy-aware Data Lake and Ingestion Infrastructure.
As a Staff Software Engineer, you will lead the development of data ingestion pipelines that process petabytes of data and billions of events daily. This role is highly cross-functional, requiring you to collaborate closely with Data Science, Data Engineering, and Product teams to understand customer requirements, and with Data Platform and Storage teams to develop integrated solutions. We extensively utilize open-source frameworks as the foundation for our platforms.
It is preferred that this role is located in one of the office locations listed on this job description which will align with our in-office working environment. This position is only eligible for remote work in limited geographies within the US where we do not have physical office locations. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What you’ll do
Partner to influence and shape the vision, strategy, and adoption of current and future technologies.
Design, build, and maintain efficient and reliable batch and streaming data pipelines that drive key data insights across the Robinhood family of products.
Lead initiatives to improve data quality, efficiency, and privacy at scale.
Forge trusting cross-functional partnerships with data producers and consumers across Robinhood to ensure our solutions meet their needs.
Establish best practices and standards for data operations and lifecycle management.
Mentor engineers at Robinhood, both formally and informally.
What you bring
6+ years of experience as a proven staff engineer with expertise in planning and leading large projects, specifically focused on data infrastructure.
Proficiency in a comprehensive range of data engineering disciplines, including data and stream processing technologies (e.g., Spark, Flink, Kafka, Hudi), data serialization formats (e.g., Avro, Protobuf), workflow orchestration tools (e.g., Airflow), and Data Stores (e.g., Postgres, ClickHouse, Redis).
Strong coding skills in Python, Java, Go or similar languages.
Experience with at least one major cloud suite of offerings (AWS, GCP, Azure).
Proven experience in contributing to open-source technologies such as Spark, Hudi, Flink, Kafka etc.
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
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As a Staff Software Engineer, you will lead the development of data ingestion pipelines that process petabytes of data and billions of events daily. This role is highly cross-functional, requiring you to collaborate closely with Data Science, Data Engineering, and Product teams to understand customer requirements, and with Data Platform and Storage teams to develop integrated solutions. We extensively utilize open-source frameworks as the foundation for our platforms.
It is preferred that this role is located in one of the office locations listed on this job description which will align with our in-office working environment. This position is only eligible for remote work in limited geographies within the US where we do not have physical office locations. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What you’ll do
Partner to influence and shape the vision, strategy, and adoption of current and future technologies.
Design, build, and maintain efficient and reliable batch and streaming data pipelines that drive key data insights across the Robinhood family of products.
Lead initiatives to improve data quality, efficiency, and privacy at scale.
Forge trusting cross-functional partnerships with data producers and consumers across Robinhood to ensure our solutions meet their needs.
Establish best practices and standards for data operations and lifecycle management.
Mentor engineers at Robinhood, both formally and informally.
What you bring
6+ years of experience as a proven staff engineer with expertise in planning and leading large projects, specifically focused on data infrastructure.
Proficiency in a comprehensive range of data engineering disciplines, including data and stream processing technologies (e.g., Spark, Flink, Kafka, Hudi), data serialization formats (e.g., Avro, Protobuf), workflow orchestration tools (e.g., Airflow), and Data Stores (e.g., Postgres, ClickHouse, Redis).
Strong coding skills in Python, Java, Go or similar languages.
Experience with at least one major cloud suite of offerings (AWS, GCP, Azure).
Proven experience in contributing to open-source technologies such as Spark, Hudi, Flink, Kafka etc.
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
#J-18808-Ljbffr