own and maintain all custodial data pipelines and back/middle office integration
build and scale a robust ingestion and reconciliation framework for multi-custodian data
identify and resolve data inconsistencies, schema drift, and latency issues across custodial feeds
collaborate with product, PM, and operations teams to ensure data accuracy for portfolio accounting, trading, and reporting
define and enforce validation checks, SLAs, and monitoring standards across the data stack
lead architectural improvements that enhance resilience and reduce technical debt
partner with adjacent engineering teams to ensure system-wide data integrity

Requirements

3+ years of experience in data engineering or backend engineering
expertise in Python, SQL, and ETL frameworks
strong understanding of financial data modeling, API integrations, and schema versioning
experience working with custodial data, portfolio management, or middle/back-office systems
proven ownership mindset and ability to operate autonomously in a mission-critical, data-intensive environment

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLETL frameworksdata engineeringbackend engineeringdata modelingAPI integrationsschema versioningdata pipelinesdata reconciliation

Soft Skills

ownership mindsetautonomous operationcollaborationproblem-solvingattention to detail