Senior Software Engineer II - Data Onboarding & Reporting
Senior Software Engineer II - Data Onboarding & Reporting
Requirements
Data Lakehouse Mastery: Proven experience building data infrastructure using Trino / Presto and open table formats like Apache Iceberg or Delta Lake.
Advanced Data Modeling: Deep expertise in Medallion Architecture patterns, Star Schemas, and processing semi-structured financial data logs (JSON/Avro).
Robust ETL/ELT Orchestration: Expert proficiency in data transformation engines (such as dbt) and scheduling tools (such as Airflow).
Stream/Message Queues: Solid understanding of event-driven architectures and streaming processing via Apache Kafka.
Strong Programming Foundations: Proficiency in Python, SQL, or an Object-Oriented language (Java/Scala).
Nice to Haves
Experience operating data assets within a regulated SOX/PCAOB compliance environment.
Familiarity with cloud data warehouses (e.g., Snowflake) and cloud compute orchestration.
Prior domain exposure to financial flows, double-entry ledger systems, or accounting integrations.
What You'll Be Doing
Lakehouse Architecture: Design, build, and optimize robust end-to-end data pipelines on top of our Trino + Iceberg Lakehouse stack.
Medallion Implementation: Own the extraction, cleaning, and modeling layers to progressively refine raw event logs (Bronze) into verified subledgers (Silver) and structured Gold metrics.
Stream Processing: Work closely with high-throughput messaging queues (Kafka) and real-time computation models to maintain our data freshness SLAs.
Data Quality & Assurance: Embed rigorous, automated reconciliation checks within the data pipelines (e.g., balance and double-entry validations) to catch data discrepancies before they reach financial reporting layers.
Perks and Benefits
The rare opportunity to help engineer the core "Engine of Trust" for a fast-growing global fintech moving billions in cross-border volume.
A chance to work beyond isolated data pipelines, building reusable libraries and system-wide framework layers rather than bespoke, one-off fixes.
Direct interaction and collaboration with top-tier product minds, data platform engineers, and global financial stakeholders.