Senior Data Lake Engineer – Streaming Ingestion

Robinhood

Washington

On-site

USD 172,000 - 230,000

Full time

14 days+
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Job summary

Robinhood is hiring a Senior Software Engineer for the Data Lake Ingestion team in Bellevue, WA. You will design and implement high-throughput ingestion systems, migrate legacy pipelines, and land curated datasets in S3 while ensuring data security and governance.

The role emphasizes building scalable, secure ingestion platforms, mentoring engineers, and coordinating with partner teams to meet latency and compliance needs. In-person work is expected at least 3 days a week at the Bellevue office.

Qualifications

  • 5+ years of software engineering experience building backend platforms or distributed data systems.
  • Strong proficiency in Java, Scala, or Python with clean, high-performance code.
  • Deep expertise with relational databases and change data capture (CDC).
  • Experience building and operating large-scale streaming systems using Kafka, Flink, or Spark.
  • Familiarity with AWS, S3, Kubernetes, and schema governance.

Responsibilities

  • Design and scale CDC, snapshot, and streaming ingestion systems that transfer operational data into the data lake.
  • Improve pipeline reliability, scale, data quality, and monitoring to reduce ingestion lag.
  • Develop self-service onboarding flows and tooling for registering databases and schemas securely.
  • Collaborate with platform data consumers to implement ingestion patterns meeting latency and compliance needs.
  • Implement access controls and retention pipelines to protect sensitive data.

Skills

Distributed data systems
Backend development
Java
Scala
Python

Tools

PostgreSQL
Kafka
Flink
Spark
AWS S3
Kubernetes

Job description

Robinhood is hiring a Senior Software Engineer for the Data Lake Ingestion team in Bellevue, WA. You will design and implement high-throughput ingestion systems, migrate legacy pipelines, and land curated datasets in S3 while ensuring data security and governance.

The role emphasizes building scalable, secure ingestion platforms, mentoring engineers, and coordinating with partner teams to meet latency and compliance needs. In-person work is expected at least 3 days a week at the Bellevue office.

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