Senior Data Platform Engineer

Bloomberg; New York (NY); On-site; USD 160,000 - 240,000; Full time

Benefits offered by this job

Comprehensive benefits package

Bonus program

401(k) + match

Life insurance

Wellness program

Job summary

Bloomberg VAULT team is building high-performance, distributed data pipelines and services for storing, surveilling, and reconstructing customer communications and financial data. You will help lead technical direction and ensure alignment with Bloomberg's business objectives.

The role requires deep experience with large-scale systems and fluency in AI development tools, plus collaboration across teams using Kafka, Spark, Airflow, and related technologies.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience accepted.
• 4+ years of professional experience in an object-oriented programming language.
• Deep background in distributed, high-volume, high-availability systems.
• Fluency in AI development tools.

Responsibilities

• Build high-performance, distributed data pipelines and services.
• Lead technical direction and ensure alignment with business needs.
• Collaborate across teams using modern open-source tech (Kafka, FastAPI, Airflow, Spark).
• Mentor junior engineers and contribute to an inclusive team culture.

Skills

OO programming

Distributed systems

AI development tools

Big data concepts

Education

Bachelor's in CS/Engineering or related field

Tools

Kafka

Spark

Flink

Cassandra

Airflow

Docker

Kubernetes

FastAPI

Job description

Bloomberg VAULT team is building high-performance, distributed data pipelines and services for storing, surveilling, and reconstructing customer communications and financial data. You will help lead technical direction and ensure alignment with Bloomberg's business objectives.

The role requires deep experience with large-scale systems and fluency in AI development tools, plus collaboration across teams using Kafka, Spark, Airflow, and related technologies.