Staff Data Engineer: Scale & Data Infrastructure

gamma capital markets; San Francisco (CA); On-site; USD 230,000 - 310,000; Full time

Job summary

gamma capital markets is looking for a Staff Data Engineer in San Francisco to oversee the company’s data infrastructure and design scalable distributed systems. You will lead technical strategy, mentor engineers, and ensure high-quality data infrastructure serves millions of users.

The ideal candidate has over 10 years of experience in data engineering and strong expertise in technologies like Apache Kafka and Snowflake.

Compensation ranges from $230K to $310K, plus benefits and equity.

Qualifications

• 10+ years as a data or software engineer with expertise in distributed systems.
• Expert-level knowledge of Apache Kafka and event streaming platforms.
• Experience with Snowflake performance optimization and data modeling.

Responsibilities

• Own and evolve event pipeline architecture from Kafka through Snowflake.
• Design distributed data systems at scale while ensuring performance.
• Lead initiatives for optimizing CDC pipelines and data transformations.

Skills

Distributed systems

Data infrastructure

Apache Kafka

Snowflake

Postgres

Data modeling

Data governance

Terraform

Tools

dbt

Job description

gamma capital markets is looking for a Staff Data Engineer in San Francisco to oversee the company’s data infrastructure and design scalable distributed systems. You will lead technical strategy, mentor engineers, and ensure high-quality data infrastructure serves millions of users.

The ideal candidate has over 10 years of experience in data engineering and strong expertise in technologies like Apache Kafka and Snowflake.

Compensation ranges from $230K to $310K, plus benefits and equity.