[Hiring] Senior Data Engineer @Dysrupit

Role Description

We are seeking a Senior Data Engineer to own the ingestion, data model, and reconciliation layers of a financial billing and invoicing data platform built on Google Cloud Platform (GCP). This role is responsible for ensuring that every amount flowing through the platform is accurate, traceable, and fully reconciled.

The ideal candidate has 6+ years of data engineering experience, including financial or billing pipelines, with deep BigQuery expertise and strong Python and SQL skills. You will design robust, auditable data pipelines with built-in data quality controls, and work closely with engineers and business stakeholders to deliver trusted financial data.

Qualifications

• 6+ years of data engineering experience.
• Proven experience building financial or billing pipelines where every amount must reconcile.
• Strong Python skills, including pydantic, typed code, and pytest.
• Advanced SQL skills, including complex joins, window functions, and performance tuning.
• In-depth Google BigQuery experience, including nested ARRAY/STRUCT tables, partitioning, and clustering.
• Experience handling money accurately using NUMERIC data types.
• Experience designing append-only tables and using views as data checks.
• Strong understanding of data quality practices, including reconciliation checks, file validation, and quarantine.
• Experience building idempotent, rerunnable pipelines.
• Experience implementing data lineage and managing effective-dated reference data.

Requirements

• Design, build, and maintain data ingestion pipelines for financial and billing data on GCP.
• Design and evolve the BigQuery data model, including nested ARRAY/STRUCT tables, partitioning, and clustering strategies.
• Implement reconciliation checks to ensure every amount balance end to end across source, staging, and output layers.
• Build file validation and quarantine processes to detect, isolate, and report invalid or incomplete source data.
• Design idempotent pipelines that can be safely rerun without duplicating or corrupting data.
• Implement append-only table patterns and use views as data checks to support auditability.
• Handle monetary values accurately using BigQuery NUMERIC types and appropriate rounding rules.
• Manage effective-dated reference data such as rates, mappings, and customer attributes.
• Establish and maintain data lineage so that every output can be traced back to its source.
• Write clean, typed, and well-tested Python code using pydantic and pytest.
• Write and optimize advanced SQL for transformation, reconciliation, and reporting.
• Collaborate with engineers, analysts, and finance stakeholders to translate business rules into reliable data logic.
• Mentor team members and contribute to data engineering standards and best practices.

Preferred Experience

• Invoicing domain experience, including credit notes, rebills, FX conversion, and month-end close.
• Experience working with finance or billing teams in a regulated or audited environment.
• Experience with other GCP services such as Cloud Storage, Cloud Run, or Firestore.