Software Engineer, Reconciliation & Reporting
Build and maintain data pipelines for reconciling card-network settlements against internal transaction data to power accurate financial, tax, and regulatory reporting at scale for a global payments platform. Requires 3+ years experience with batch/event-driven pipelines, orchestration tools, and strong SQL/programming skills in a high-stakes financial environment.
About the job
Responsibilities
- Own small, well-bounded projects end-to-end: clarify requirements, design, build, test, ship, and follow up.
- Build and maintain features within ingestion and reconciliation pipelines that match card-network and partner reports against internal transaction data.
- Contribute to tooling that provides end-to-end traceability of money throughout the system.
- Develop features for reporting and reconciliation products that are accurate, reliable, timely, scalable, and user-friendly for internal finance teams and external merchants.
- Produce standardized journals and summaries that feed downstream accounting, audit, and analysis.
- Contribute to large-scale tax and regulatory reporting systems, including US IRS information returns (1099 family at scale of tens of millions annually) and international regimes (EU CESOP, Australia, Ireland, Spain).
- Support regulatory and compliance obligations (AML, KYC), with careful handling of sensitive and PII data, including TIN validation and secure form generation and filing.
- Validate work using code review, tests, experiments, or usage signals (including for AI-assisted changes).
- Debug and escalate production issues across services, providing clear context on changes and remaining risk.
- Collaborate with engineers, product managers, data analysts, finance, tax, and compliance partners on technical design and product decisions.
- Review peers' work, apply feedback, document learnings including AI workflows.
- Opportunistically improve systems by replacing manual work with automation.
Requirements
- 3+ years of professional software or data engineering experience.
- Bachelor's degree in a technical field (Computer Science, Engineering, Mathematics, or similar) or equivalent experience.
- Experience building or maintaining batch- or event-driven data pipelines, with exposure to workflow orchestration (e.g., Airflow, Temporal, Spark) and understanding of distributed systems.
- Proficiency in at least one major programming language (Java, Python, Go) and solid SQL.
- Experience delivering well-scoped projects or features end-to-end with guidance.
- Strong communication skills: surface concerns with proposals, provide clear context in debugging.
- Care for engineering quality: maintainable/testable code, code review, CI/CD, observability in high-stakes financial environment.
- Proficiency using AI tools throughout the software development lifecycle with judgment on validation.
Nice-to-Haves
- Exposure to financial, tax, regulatory, or payments reporting and reconciliation products.
- Familiarity with payments ecosystem (merchants, acquirers, card networks, issuers/processors), authorization/clearing/settlement, card-network file formats, or ISO-8583.
- Understanding of accounting principles, double-entry bookkeeping, and financial reconciliation.
- Experience with cloud data warehouses (BigQuery, Snowflake) or distributed systems (Spark/PySpark, Delta Lake, Kafka, Hadoop).
- Exposure to cloud platforms (AWS, Kubernetes) and IaC (Terraform).
- Interest in financial products and markets.
Skills
Java, Python, Go, SQL, Airflow, Temporal, Spark, BigQuery, Snowflake, Kafka, AWS, Kubernetes, Terraform
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