Software Engineer, Reconciliation & Reporting

Block•Bay Area, CA, United States of America, CA

20d•$120,700 - $213,000•Remote

About The Position

You will join the Recon and Reporting team, which owns our post-transaction systems: the platform responsible for reconciling money, tracing the end-to-end flow of funds, and meeting our tax and regulatory reporting obligations to merchants, customers, and authorities worldwide. Reconciliation and financial reporting are essential to running a payments business, and given our transaction volume, the projects you own will have direct, measurable impact on financial accuracy and trust. You will help build and operate the systems that ingest and integrate global card-network settlement and report files (Visa, Mastercard, and equivalents), along with data from acquirers, processors, and banks, and reconcile them against internal payment data to power settlement, dispute, cost, tax, and regulatory reporting. You will own well-scoped projects within this platform end-to-end, with guidance from more experienced engineers. Our vision is to make reconciliation and reporting accurate, automated, and near real-time.

Requirements

3+ years of professional software or data engineering experience.
A Bachelor's degree in a technical field (Computer Science, Engineering, Mathematics, or similar) or equivalent technical experience.
Experience building or maintaining batch- or event-driven data pipelines, with exposure to workflow-orchestration technologies (e.g., Airflow, Temporal, Spark, or equivalent) and a working understanding of distributed systems.
Proficiency in at least one major programming language (e.g., Java, Python, Go) and solid SQL.
Experience delivering well-scoped projects or features end-to-end (design, build, test, ship, operate), with guidance from more experienced engineers.
Strong communication skills: you surface concerns alongside a concrete proposal, and you give teammates clear context when debugging and escalating.
Care for engineering quality, including maintainable and testable code, code review, CI/CD, and observability, appropriate for a complex, high-stakes financial environment.
Proficiency in using AI tools throughout the software development lifecycle, with the judgment to recognize where they accelerate work and where output needs additional validation.

Nice To Haves

Exposure to financial, tax, regulatory, or payments reporting and reconciliation products.
Familiarity with the payments ecosystem (merchants, acquirers, card networks, and issuers/processors), including authorization, clearing, and settlement, card-network settlement file formats, or ISO-8583.
Understanding of accounting principles, double-entry bookkeeping, and financial reconciliation processes.
Experience with cloud data warehouses (e.g., BigQuery, Snowflake) or distributed data systems and tools such as Spark/PySpark, Delta Lake, Kafka, and Hadoop.
Exposure to cloud platforms (AWS, Kubernetes) and infrastructure-as-code (Terraform).
Interest in financial products and markets.

Responsibilities

Own small, well-bounded projects end-to-end with guidance available: clarify requirements, design, build, test, ship, and follow up.
Build and maintain features within the 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 both internal finance teams and external merchants.
Produce standardized journals and summaries that feed downstream accounting, audit, and analysis.
Contribute to our large-scale tax and regulatory reporting systems, including US IRS information returns (the 1099 family, issued at the scale of tens of millions of forms annually to merchants and customers) and international regimes such as EU-wide CESOP and country-specific reporting for Australia, Ireland, and Spain.
Support broader regulatory and compliance obligations (AML, KYC, and similar), with careful handling of sensitive and PII data, including TIN validation and secure form generation and filing.
Validate your work before calling it done, using code review, tests, small experiments, or usage signals, including for AI-assisted changes.
Take agency in debugging and escalating production issues across services, giving the team clear context on what changed, when it changed, how it changed, and what risk remains.
Collaborate with engineers, product managers, data analysts, and finance, tax, and compliance partners, contributing to technical design and product decisions that shape feature outcomes.
Review peers' work, apply their feedback to your own, and document learnings, including AI workflows the team can reuse.
Opportunistically improve the systems you touch when it fits your project scope, replacing manual and redundant work with automation, and route larger issues to the right owner.