Software Engineer, Data Quality

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Delve deeply into the product's data model and explore the varying billing formats of AWS, Azure, and Google Cloud, meticulously documenting your findings.

• Develop automated solutions for data validation, reconciliation, and anomaly detection, utilizing workflows such as Argo or similar tools.

• Analyze data quality issues to identify root causes, rectify them, and implement automated checks to prevent future occurrences.

• Replace manual data verifications prior to customer demonstrations with robust, automated solutions.

• Expand test automation to cover critical areas of the product.

• Collaborate with sales and customer success teams on real-time data inquiries, diagnosing and resolving any issues.

• Leverage AI tools to speed up investigations, generate checks, and triage anomalies.

⛳️ Requirements

• A minimum of 3 years of experience in software or data engineering, or equivalent practical experience in developing and deploying code.

• Exceptional attention to detail.

• Proficient in SQL for data transformation and reconciliation, alongside a comfort level with scripting.

• Python is preferred; a strong engineer with expertise in SQL and another programming language who is willing to learn Python will be well-suited for this role.

• A preference for automating checks instead of performing them manually.

• An interest in becoming the recognized authority on how the three major cloud providers represent billing.

• Familiarity with AI tools, applied judiciously, to enhance coverage and expedite processes.

• Experience with cloud billing in AWS, Azure, or Google Cloud, as well as in FinOps or related financial data fields.

• Knowledge of data quality frameworks such as dbt tests, Great Expectations, or Soda.

• Experience with workflow orchestration tools (Argo, Airflow, Dagster) and data pipeline or ETL processes.

• Proficient in test automation and continuous integration for data or application surfaces.

• Proven experience in ensuring data integrity for customer-facing or revenue-critical applications.

🏝️ Benefits

• Competitive salary and equity compensation package.

• Extensive medical, dental, and vision insurance coverage.

• 401(k) retirement plan.

• Flexible paid time off and company-recognized holidays.

• Remote-first work culture.

• An opportunity to influence and grow a category-defining FinTech platform.