Data Engineer

OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Faction, NfX, Accomplice, and other top-tier investors.

OpenFX processes billions of dollars in transaction volume across global corridors. Every decision around pricing, risk, liquidity, reconciliation, and compliance depends on accurate, timely, and trustworthy data. We need Data Engineers who can build reliable data pipelines, ensure data correctness end to end, and make data usable for analytics, risk, and operations at scale. You will own critical data infrastructure that directly powers our financial operations.

• →Own 1 to 2 critical data pipelines that ingest, transform, and publish production data
• →Design data models that are accurate, auditable, and easy to consume
• →Build reliable ingestion pipelines from transactional systems and external partners
• →Ensure data correctness and freshness through validation, monitoring, and backfills
• →Handle late-arriving, duplicate, and inconsistent data safely
• →Partner with Backend, Analytics, Risk, and Ops teams to translate requirements into robust data solutions
• →Improve core data metrics such as pipeline reliability, data latency, and reconciliation accuracy
• →Automate pipeline operations including retries, recovery, and backfills

Required

• 3 to 7 years experience in data engineering or backend data systems
• Strong SQL and data modeling fundamentals
• Experience building batch and/or streaming pipelines
• Experience working with relational databases and data warehouses
• Experience handling schema evolution and backfills
• Understanding of data quality, validation, and monitoring
• Ability to clearly explain data tradeoffs

Preferred

• Experience with Kafka, Spark, or Flink
• Experience with modern warehouses (BigQuery, Snowflake, Redshift)
• Experience with Airflow or similar orchestration tools
• Experience in fintech or regulated domains
• Familiarity with event-driven architectures
• Experience mentoring junior engineers