We are looking for a Software Engineer to join our Reconciliation team. You will design and build high-throughput reconciliation systems that ensure the accuracy and consistency of financial data across trading, settlement, and fee/commission pipelines. The role sits at the intersection of backend engineering and data development — you need to be equally comfortable writing production Java services and wrangling large-scale data with Flink and Hive.
Responsibilities
- Design and implement reconciliation frameworks to detect discrepancies across financial systems (trading, settlement, commission, etc.)
- Build and maintain real-time and batch data pipelines using Apache Flink and Hive
- Write complex SQL for data validation, anomaly detection, and root-cause analysis
- Collaborate with Finance, Risk, and Product teams to define reconciliation rules and SLAs
- Optimize system performance and reliability for high-volume, low-latency reconciliation scenarios
- Leverage AI/LLM tooling to accelerate development, automate anomaly triage, and improve operational efficiency
Requirements
- 3+ years of backend development experience, primarily in Java
- Strong SQL skills — able to write and optimize complex queries for large datasets
- Hands-on experience with big data frameworks: Apache Flink (streaming) and Hive (batch/warehouse)
- Data-sensitive mindset: comfortable reasoning about data accuracy, consistency, and edge cases
- Experience in financial reconciliation, settlement systems, or data quality engineering is a strong plus
- Familiarity with AI tools (Copilot, LLM-based automation, etc.) and ability to apply them in daily engineering work is a plus
Nice to have
- Experience with data warehousing concepts (partitioning, slowly changing dimensions, data lineage)
- Familiarity with Kafka, Spark, or similar data infrastructure
- Background in crypto, fintech, or high-frequency trading environments
Skills Required
- 3+ years of backend development experience, primarily in Java
- Strong SQL skills for writing and optimizing complex queries on large datasets
- Hands-on experience with Apache Flink (streaming) and Apache Hive (batch/warehouse)
- Data-sensitive mindset; comfortable reasoning about data accuracy, consistency, and edge cases
- Experience in financial reconciliation, settlement systems, or data quality engineering
- Familiarity with AI tools (Copilot, LLM-based automation) and ability to apply them
- Experience with data warehousing concepts, partitioning, SCDs, and data lineage
- Familiarity with Kafka or Spark or similar data infrastructure
- Background in crypto, fintech, or high-frequency trading environments
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
-
Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
-
Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
-
Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com





