CargoSprint

Compensation

Full Description

Job Description: • Lead the Data Processing team: technical direction, delivery cadence, coaching, and hiring support (as needed) • Own core processing systems end-to-end: design, implementation, quality, observability, and on-call readiness • Drive modernization of legacy processing: simplify flows, reduce failure modes, improve performance and cost • Build and operate pipelines (batch and/or streaming) with strong data quality, lineage, and backfill strategies • Establish SLAs/SLOs for key pipelines and improve monitoring, alerting, and incident response • Partner with application engineering, finance, and analytics to prioritize work and deliver dependable outputs • Raise the engineering bar via standards, PR reviews, runbooks, and pragmatic architecture decisions Requirements: • 8+ years building production systems; 2+ years leading engineers or acting as a team tech lead • Strong experience with data processing systems (ETL/ELT, streaming, batch processing, orchestration) • Hands-on experience with Databricks and Spark (PySpark/Scala) and strong SQL • Experience modernizing legacy systems safely and incrementally • Operational discipline: monitoring, alerting, incident response, and root cause analysis for pipelines • Ability to drive cross-team alignment and translate requirements into reliable delivery • Nice to have: Lakehouse patterns (Delta Lake, Iceberg, or Hudi) and data catalog/governance tools • .Net or Java expertise • Event-driven architectures (Kafka/Kinesis/PubSub) and streaming pipelines • FinTech, payments, billing, invoicing, or other high-volume transactional domains • Experience enabling self-serve analytics for business users • Logistics, cargo, or supply chain experience • Spanish language proficiency. Benefits: • Health and Wellness: Medical, dental, and vision plans for you and your family • Future-Ready: 401(k) with company match • Work Life Balance: Generous flexible PTO program and paid holidays • Grow With Us: Professional development opportunities