Full Stack Engineer
Kpler
Full Stack Engineer
Kpler
Real-time commodity and shipping analytics
As a Senior Software Engineer within our Commodities tribe, you will lead the end-to-end integration of US inland waterway barge data into Kpler’s global cargo intelligence platform. Operating under a "you build it, you run it" philosophy, you will design robust ingestion paths, stream real-time data using Kafka, and connect barge movement models directly to our customer-facing surfaces. This role carries genuine design authority, empowering you to solve complex entity resolution problems while mentoring peers and elevating technical craft across our crews.
Lead end-to-end integration architecture: Drive the full engineering lifecycle—from external feed ingestion and domain modeling to streaming, entity resolution, and UI distribution.
Design robust ingestion & entity-resolution systems: Map incoming barge data onto Kpler reference data (vessels, zones, installations, products) using existing Elasticsearch and PostgreSQL matching patterns.
Build scalable Kafka streaming pipelines: Construct event-driven contracts, schemas (Avro), deduplication mechanisms, and dead-letter queue replays with Python and Scala.
Deliver data across customer surfaces: Surface integrated barge data cleanly across Elasticsearch read models, external APIs, data warehouse feeds, and the Kpler Terminal (TypeScript/Vue).
Champion production quality & observability: Maintain full operational ownership of your services, setting SLOs, participating in on-call rotations, and driving post-incident improvements.
Ensure data integrity & analyst alignment: Validate external feeds and integrate human-in-the-loop analyst workflows so corrections seamlessly apply to barge movements.
Mentor and elevate engineering craft: Guide and mentor crew members, document architectural designs, and actively contribute to decomposing legacy estates into event-driven services.
Production data engineering experience: ~5+ years of experience designing, operating, and maintaining data-intensive production systems with full ownership.
Advanced Python & SQL expertise: Proven ability to build clean, well-bounded services within large, complex, and evolving codebases.
Event-driven streaming proficiency: Hands-on experience with Kafka streaming in production, including schema management (Avro/Schema Registry), deduplication, and replay patterns.
Third-party integration & entity resolution: Demonstrated background integrating external data feeds, managing schema mapping, and building data quality monitoring frameworks.
Operational mindset: Direct experience managing production observability, writing documentation, and resolving incidents in a distributed system environment.
Functional programming & Scala: Experience or familiarity with Scala (Kafka Streams) or a track record of rapidly mastering new languages.
Geospatial & domain knowledge: Familiarity with geospatial data tools (PostGIS) or exposure to maritime, logistics, or commodities domains.
Modern data stack exposure: Experience with Elasticsearch, Airflow, Snowflake/lakehouse table formats, Kubernetes, and GitOps deployments.
UI/Frontend collaboration: Working knowledge of TypeScript or Vue to collaborate on user-facing terminal features.
Kpler provides real-time data and analytics across oil, gas, LNG, agriculture, metals, and shipping for traders, banks, and governments. Its platform gathers terminal data, vessel movements, and trade flows, delivering insights via a web terminal, an API, and Excel add-ins for on-demand market monitoring. Its breadth across multiple commodities and markets, along with real-time and historical intelligence and growth through acquisitions, sets it apart. Its goal is to help clients make informed trading, risk management, and policy decisions while expanding into adjacent markets and new products.
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