Senior Developer I - Data Engineer
Core
Design and scale data infrastructure supporting private equity and private debt strategies by modeling, moving, and governing data across complex, multi-administrator environments.
Role type
Senior Data Engineer (Private Markets)
Builds
Scalable ETL/ELT pipelines, data warehouse models, and governed datasets for investment operations and analytics.
Domain
Private Markets (Private Equity, Private Debt) / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Python, Apache Spark, Apache Airflow, Snowflake, dbt, Git, CI/CD, dimensional modeling (star/snowflake schema), data quality monitoring, AI tool fluency (LLM-assisted development)
Preferred skills
Kafka, data contracts, schema evolution, OpenShift, data normalization
Technologies
Snowflake, AWS, Azure, Apache Spark, Apache Airflow, dbt, Kafka, OpenShift, Git
Responsibilities
Develop and optimize data models for analytics and operational workloads; Design and maintain scalable ETL/ELT pipelines ingesting data from diverse fund administrators; Implement data quality checks, monitoring, and alerting; Collaborate with teams to deliver well-modeled datasets; Optimize query performance, pipeline throughput, and storage costs; Contribute to data governance practices including lineage tracking and access controls.
Seniority
Senior, hands-on IC
