Hybrid Senior Data Lake Ingestion Engineer

Unchain Data; Bellevue (WA); On-site; USD 196,000 - 230,000; Full time

Benefits offered by this job

Equity ownership

401(k) matching

Health insurance (employee)

Paid time off

Catered meals and office perks

Mental health benefits

Job summary

Robinhood is building an elite Data Lake Ingestion team in Bellevue, WA. You will design and implement next-generation ingestion systems, focusing on performance, schema evolution, and validation. You’ll scale the Rocket CDC platform, migrate legacy pipelines, and land curated datasets in S3 using Flink and Kafka.

A mentor role, guiding engineers to raise engineering standards. This role emphasizes in-person collaboration, owning end-to-end ingestion workflows, and partnering with data consumers

Qualifications

• At least 5 years of software engineering experience, specifically building backend platforms or distributed data systems.
• Strong proficiency in Java, Scala, or Python, with experience writing clean, maintainable, and high-performance code.
• Deep technical expertise with relational databases (such as Postgres) and change data capture (CDC) mechanisms.
• Proven experience building and operating large-scale streaming systems using Kafka, Flink, or Spark.
• Familiarity with cloud infrastructure (specifically AWS S3), container orchestration using 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 maintain ingestion health and reduce replication lag.
• Develop self-service onboarding flows and tooling to help partner teams register databases and schemas quickly and securely.
• Collaborate with platform teams and data consumers to select and implement appropriate ingestion patterns for their latency and compliance needs.
• Implement access controls, PII-handling workflows, and retention pipelines to protect sensitive data across its lifecycle.

Skills

Java

Python

Scala

Distributed data systems

CDC (Change Data Capture)

Kafka

Flink

Spark

Relational databases (Postgres)

AWS S3

Kubernetes

Schema governance

Tools

Kafka

Flink

Spark

PostgreSQL

Cloud AWS

Kubernetes

Job description

Robinhood is building an elite Data Lake Ingestion team in Bellevue, WA. You will design and implement next-generation ingestion systems, focusing on performance, schema evolution, and validation. You’ll scale the Rocket CDC platform, migrate legacy pipelines, and land curated datasets in S3 using Flink and Kafka.

A mentor role, guiding engineers to raise engineering standards. This role emphasizes in-person collaboration, owning end-to-end ingestion workflows, and partnering with data consumers