Software Engineer, Data Quality
New
A
ArcheraFinTech, Cloud Computing
Québec, Quebec, Canada, New York, United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLCloud ComputingETLAirflowData engineering
Requirements
- 3+ years of software or data engineering experience, or equivalent hands-on experience building and shipping code.
- Strong attention to detail, specifically regarding data accuracy for financial budgeting.
- SQL fluency for transformation and reconciliation.
- Proficiency in Python (or strong engineering skills in another language with a willingness to learn Python).
- Experience with scripting for task automation.
- Comfort using AI tooling to improve coverage and development speed.
- Interest in mastering complex cloud billing data models (AWS, Azure, Google Cloud).
- Experience with cloud billing, FinOps, or financial-data domains is a plus.
- Experience with data-quality frameworks such as dbt tests, Great Expectations, or Soda.
- Experience with workflow orchestration tools like Argo, Airflow, or Dagster.
- Experience with ETL pipelines or data pipeline development.
- Experience with test automation and CI for data or application surfaces.
Responsibilities
- Go deep on the product's data model and on how AWS, Azure, and Google Cloud each format billing differently, documenting what you find rigorously.
- Build automated data validation, reconciliation, and anomaly detection, including the workflows (Argo or equivalent) that run the checks.
- Investigate data-quality problems to root cause, fix them, and automate the check that prevents a repeat.
- Replace the manual data checks the team runs before customer demos with durable, automated coverage.
- Extend test automation to critical product surfaces.
- Work with sales and customer success on live data questions, diagnosing and resolving issues as they surface.
- Use AI tooling to accelerate investigation, check generation, and anomaly triage.
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