Senior Developer I - Data Engineer

Key Responsibilities

• Develop and optimize data models in the data warehouse for analytics, reporting, and operational workloads
• Translate private markets workflows such as capital calls, distributions, and co-investment closings into well-governed, reusable datasets
• Design, build, and maintain scalable ETL/ELT data pipelines that ingest and normalize large volumes of structured and unstructured data from multiple fund administrators
• Implement data quality checks, monitoring, and alerting to ensure the reliability and accuracy of data across the platform
• Collaborate with users and development teams to understand data requirements and deliver well-modeled, accessible datasets
• Optimize query performance, pipeline throughput, and storage costs across the data platform
• Contribute to data governance practices including documentation, lineage tracking, cataloging, and access controls
• Leverage AI to drive efficient coding and process design

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• 7+ years of professional experience in data engineering, building and maintaining production data pipelines
• Financial markets data domain experience required with Private Markets data experience a plus
• Demonstrated fluency with AI tools — co-pilot tools, LLM-assisted development, or AI-augmented data workflows
• Advanced SQL skills and experience designing dimensional data models (star schema, snowflake schema)
• Proficiency in Python and experience with data processing frameworks such as Apache Spark, Pandas, or Polars
• Hands-on experience with orchestration tools such as Apache Airflow
• Experience with Snowflake and cloud services (AWS or Azure)
• Familiarity with data transformation tools like dbt and version-controlled analytics workflows
• Solid understanding of software engineering best practices including Git, CI/CD, testing, and containerization

Preferred Qualifications

• Experience with streaming data architecture using Kafka
• Experience implementing data contracts and schema evolution strategies
• Experience with OpenShift platform
• Experience normalizing data across similar data sets
• Experience private markets data context

Work model

Location: New York City; hybrid with a minimum of two days per week in office.

Compensation Details

The salary range for this role is $130,000-$170,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs.

Note

No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.