Bloomberg Government is changing the government sector by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers. Our goal is to become an indispensable tool for private and public sector professionals by supporting their day-to-day tasks and providing solutions that help them get real-time answers and better serve their companies.

Within Bloomberg Government, the Data Platform team is hiring! As part of our team, you will help build a visualization layer on top of the Bloomberg Government data platform, as well as develop the internal tools that our data analysts use to curate our products. You will also help in our task to migrate our data to the cloud. Here you will use AWS technologies like Lambda and Step Functions to create robust ingestion workflows as well as implementing Databricks Lakehouses. You will be given the opportunity to display your creativity and deliver continuous end-user value in an Agile environment. We are self-motivated engineers who like to research, learn, and apply current technologies to build new product features that anticipate our customers’ needs.

We’ll trust you to:

- Work directly with product owners, data experts and other engineering teams to build solutions that our clients use to solve complex problems

- Build and support a distributed platform supporting all Bloomberg Government data

- Work with data analysts to collect insight on possible data collection efficiencies and identify automation potential for manual workflows
- Developing infrastructure as code (IaC) and embraces DevOps principles.

- Work with AWS cloud services to implement micro services using serverless technologies

- Work with Databricks to build a Lakehouse

You'll need to have:

- 4+ years of experience programming in Python

- 4+ years of experience with relational databases, SQL and Linux

- A passion to learn new technologies

- BA, BS, MS, PhD in Computer Science, Engineering or related technology field

We'd love to see:

- Knowledge of PySpark, Databricks and ETL

- Working with AWS and building infrastructure using CloudFormation and Terraform

- Experience with applying machine learning algorithms to solve complex data mining problems