{"id":1639598,"url":"https://alion.io/job/kpler-full-stack-engineer-4","title":"Full Stack Engineer","company":{"id":4764,"name":"Kpler","domain":"kpler.com","url":"https://alion.io/company/kpler","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Athens, Greece"],"countries":["GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":82000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":6426},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"GitOps","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"PostGIS","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-17T11:22:02Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-12T11:45:37Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"About the Role\nAs 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.\nKey Responsibilities\nLead end-to-end integration architecture: Drive the full engineering lifecycle-from external feed ingestion and domain modeling to streaming, entity resolution, and UI distribution.\n\nDesign robust ingestion & entity-resolution systems: Map incoming barge data onto Kpler reference data (vessels, zones, installations, products) using existing Elasticsearch and PostgreSQL matching patterns.\n\nBuild scalable Kafka streaming pipelines: Construct event-driven contracts, schemas (Avro), deduplication mechanisms, and dead-letter queue replays with Python and Scala.\n\nDeliver data across customer surfaces: Surface integrated barge data cleanly across Elasticsearch read models, external APIs, data warehouse feeds, and the Kpler Terminal (TypeScript/Vue).\n\nChampion production quality & observability: Maintain full operational ownership of your services, setting SLOs, participating in on-call rotations, and driving post-incident improvements.\n\nEnsure data integrity & analyst alignment: Validate external feeds and integrate human-in-the-loop analyst workflows so corrections seamlessly apply to barge movements.\n\nMentor and elevate engineering craft: Guide and mentor crew members, document architectural designs, and actively contribute to decomposing legacy estates into event-driven services.\n\nExperience & Background\nWhat you'll need (Must-haves)\nProduction data engineering experience: ~5+ years of experience designing, operating, and maintaining data-intensive production systems with full ownership.\n\nAdvanced Python & SQL expertise: Proven ability to build clean, well-bounded services within large, complex, and evolving codebases.\n\nEvent-driven streaming proficiency: Hands-on experience with Kafka streaming in production, including schema management (Avro/Schema Registry), deduplication, and replay patterns.\n\nThird-party integration & entity resolution: Demonstrated background integrating external data feeds, managing schema mapping, and building data quality monitoring frameworks.\n\nOperational mindset: Direct experience managing production observability, writing documentation, and resolving incidents in a distributed system environment.\n\nNice-to-haves\nFunctional programming & Scala: Experience or familiarity with Scala (Kafka Streams) or a track record of rapidly mastering new languages.\n\nGeospatial & domain knowledge: Familiarity with geospatial data tools (PostGIS) or exposure to maritime, logistics, or commodities domains.\n\nModern data stack exposure: Experience with Elasticsearch, Airflow, Snowflake/lakehouse table formats, Kubernetes, and GitOps deployments.\n\nUI/Frontend collaboration: Working knowledge of TypeScript or Vue to collaborate on user-facing terminal 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