Senior Data Platform Engineer - Hybrid (Mon/Wed/Fri)

Visa Hunt

Seattle (WA)

On-site

USD 192,000 - 240,000

Full time

14 days+
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Job summary

Brex, a leading data-driven fintech, is hiring for a Data Enablement Platform role. You will own data infrastructure, collaborate with product, data science, and analytics teams, and help deliver data-backed products across a large-scale data stack.

You will build and operate data warehouses, streaming, and governance components, while improving platform reliability and data literacy across teams. The position requires 5+ years in data infra and in-office work 3 days weekly.

Qualifications

  • 5+ years in data infra or data platform roles.
  • Experience with Snowflake, Flink, Airflow, dbt, CDC.
  • Fluency in Kotlin or Python.
  • Experience building and maintaining large-scale data stacks.
  • Experience with streaming infra like Kafka.
  • Backend or full-stack development experience.
  • Strong cross-team communication and collaboration.
  • Willing to work in office 3 days a week (Mon/Wed/Fri).

Responsibilities

  • Build, improve, and maintain Brex's data platform and infrastructure: data warehouse & analytics, data streaming, replication and materialization, data orchestration, data observability, access & governance.
  • Partner with Brex's product teams, data science and analytics teams to help them launch superior products backed by data insights.
  • Level up the data competency at Brex through partnership and education.
  • Invest in building resilient data architectures, participate in on-call rotations, and continuously improve our operational efficiency.

Skills

Backend engineering
Data infra
Full-stack development
Cross-team collaboration
Communication
Kotlin or Python

Tools

Snowflake
Flink
Airflow
dbt
CDC
Kafka

Job description

Brex, a leading data-driven fintech, is hiring for a Data Enablement Platform role. You will own data infrastructure, collaborate with product, data science, and analytics teams, and help deliver data-backed products across a large-scale data stack.

You will build and operate data warehouses, streaming, and governance components, while improving platform reliability and data literacy across teams. The position requires 5+ years in data infra and in-office work 3 days weekly.

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