Contribute to Private Markets Data Engineering priorities, aligning work with the broader data strategy
Job Summary
Contribute to Private Markets Data Engineering priorities, aligning work with the broader data strategy.
Design and implement scalable data pipelines using Python, Java, SQL, and modern orchestration frameworks.
Our hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all.
Matching Summary
Contribute to Private Markets Data Engineering priorities, aligning work with the broader data strategy.
Skills & Requirements
Must-have
Data pipelines using Python, Java, SQL
Backend services and APIs
Data quality and integrity automation
Cloud-native development on AWS/Azure
CI/CD, Git, and DevOps practices
Nice-to-have
AI/ML-enabled data workflows
Financial services experience
Modern DevOps practices
Key Requirements
3+ years of experience in software/data engineering
Bachelor’s degree in Computer Science, Engineering, or related field
Strong programming skills in Python, .NET, and/or Java
Experience with orchestration tools (e.g., Apache Airflow)
Experience with relational data stores (e.g., PostgreSQL, Snowflake)
Experience with Docker and container orchestration (e.g., Kubernetes)
Strong cloud-native development experience on AWS and/or Azure