Arrowstreet Capital

Senior Software Engineer - Data Platform

Boston · Senior

Sponsorship not specified$135k-$325kDetected 51 days ago

PythonC#FastAPITerraformKafkaOpenAPISparkData EngineeringCybersecurityRecruitingTest Automation

About the role

The primary objective is to streamline the ingestion and transformation of new data sources, enabling rapid delivery of actionable analytics across the firm.
The base salary range for this position is $135,000 - $325,000 per year.
Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans.

Define and execute the technical roadmap for the platform that can support batch and real-time data sets using modern data processing frameworks.
Oversee and contribute to building features for data discovery, lineage, governance, ingestion operation, cost management, performance, etc.
Lead and assist the team in investigating potential improvements achieved by adopting new data technologies and frameworks.
Production support of the platform to avoid disruption to investment processes.
Collaborate closely with business stakeholders to understand their data needs, translate business objectives into scalable and efficient data engineering solutions.
Partner with IT operations and cloud security teams to ensure platform solutions are secure, scalable, and reliable.
Develop and mentor a junior Data Engineers

Bachelor's degree in Computer Science, Computer Engineering or a related discipline
At least 5 years of experience working with data lakes, data warehousing, and/or database systems, including processing frameworks like Spark, Hadoop, Presto, etc.
You are fluent in at least one major programming language (e.g. Python, C#)
Experience designing and deploying APIs and client libraries using tools such as OpenAPI, FastAPI, or similar frameworks.
You have experience with real-time streaming processing with Kafka, Kinesis, and Apache Flink etc.

This listing is sourced directly from Arrowstreet Capital's careers page and normalized into a canonical job model.