2027 Blackstone Technology and Innovations, Data Engineer Summer Analyst

Blackstone•Miami, FL

22h•Onsite

About The Position

Blackstone is seeking a Data Engineer Summer Analyst who will develop innovative technologies that are changing the Alternative Asset Management industry. You will work with other engineers and business analysts to design, build, deploy, and support ETL/ELT data pipelines and infrastructure across multiple business units. Our custom-built applications are mostly developed in Python and hosted within AWS. We take full advantage of cloud native container-based and serverless architectures. We build robust data pipelines connecting to Snowflake for data analysis and visualization. You will devise elegant solutions to Blackstone's most meaningful technical challenges and put your own best ideas to work in an entrepreneurial environment inside one of the leading companies in its industry.

Requirements

Currently enrolled as an undergraduate student
Anticipated graduation date: Fall 2027 – Spring 2028
Resume must include expected graduation month/year and GPA
Resume must be in PDF format
Object-oriented programming experience in any language
A desire to learn and adapt to new technologies
A self-starting, entrepreneurial attitude
A desire to keep improving
Sound knowledge of Python and Pandas or equivalent data manipulation library
Knowledge of SQL and Database Query Languages
Familiarity with AWS ecosystem including S3, RDS, Data Streaming Practices, ECS, AWS Lambda and Infrastructure as Code
Familiarity with Snowflake, Prefect, or similar data orchestration tools
Object-oriented programming experience in any language (Python a plus)

Responsibilities

Develop innovative technologies that are changing the Alternative Asset Management industry.
Work with other engineers and business analysts to design, build, deploy, and support ETL/ELT data pipelines and infrastructure across multiple business units.
Devise elegant solutions to Blackstone's most meaningful technical challenges and put your own best ideas to work in an entrepreneurial environment inside one of the leading companies in its industry.
Partner with data scientists, product managers, and business stakeholders to translate ideas into resilient and scalable data solutions in AWS.
Utilize Docker to create containerized microservices.
Automate cloud infrastructure configuration using Terraform.
Use tools such as Prefect and Snowflake to build data pipelines.
Design data models and persist data to Snowflake cloud data warehouse.
Utilize cloud native messaging tools.
Use Gitlab to implement build and integration pipelines.
Write automated unit, integration, and deployment tests.
Build tooling to automate away repetitive tasks.