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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data ingestion and reconciliation pipelines, ensuring accurate and timely reporting for regulatory compliance. Proficient in programming languages such as Java, Python, or Go, with a strong foundation in SQL and experience with workflow orchestration technologies.
Highest-signal resume keywords
Data Pipeline DevelopmentSQL ProficiencyWorkflow-Orchestration TechnologiesRegulatory Reporting ExperienceSoftware Development Lifecycle
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringBatch ProcessingEvent-Driven PipelinesDistributed SystemsJavaPythonGoSQLCI/CDCode Review
Soft Skills
Strong Communication Skills
Tools & Technologies
AirflowTemporalSparkAI Tools
Industry Keywords
AMLKYCIRS 1099EU CESOPTax ReportingCompliance
Tech Stack
Tools & technologiesAirflowDistributed SystemsJavaPythonSparkSQLGo
About the role
Key responsibilities & impact- Join the Recon and Reporting team responsible for post-transaction systems
- Build and operate systems ingesting global card-network settlement and report files and data from acquirers, processors, and banks
- Reconcile external reports against internal payment data for settlement, dispute, cost, tax, and regulatory reporting
- Own small, well-bounded projects end-to-end with guidance
- Build and maintain ingestion and reconciliation pipeline features
- Contribute to end-to-end money traceability tooling
- Develop accurate, reliable, timely, scalable, and user-friendly reporting and reconciliation products
- Produce standardized journals and summaries for accounting, audit, and analysis
- Contribute to tax and regulatory reporting systems, including IRS 1099, EU CESOP, and reporting for Australia, Ireland, and Spain
- Support AML, KYC, TIN validation, secure form generation, and filing obligations
- Validate work through code review, tests, experiments, and usage signals
- Debug and escalate production issues across services
- Collaborate with engineers, product managers, data analysts, and finance, tax, and compliance partners
- Review peer work and document reusable learnings and AI workflows
- Improve systems through automation and route larger issues to appropriate owners
Requirements
What you’ll need- 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
- Exposure to workflow-orchestration technologies such as Airflow, Temporal, Spark, or equivalent
- Working understanding of distributed systems
- Proficiency in at least one major programming language such as Java, Python, or Go
- Solid SQL
- Experience delivering well-scoped projects or features end-to-end
- Strong communication skills
- Maintainable and testable code, code review, CI/CD, and observability
- Proficiency in using AI tools throughout the software development lifecycle
Benefits
Comp & perks- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
