Software Engineer, Data Quality

Summary

Archera provides FinTech solutions that help organizations optimize cloud costs and improve cloud return on investment. The Software Engineer, Data Quality will build automated data validation, reconciliation, and anomaly detection systems across AWS, Azure, and Google Cloud billing data, investigate root causes, and improve test automation and data reliability for customer-facing products.

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

Skills

• 3+ years of software or data engineering experience, or equivalent hands-on experience building and shipping code
• Strong attention to detail — you notice the number that is subtly wrong, and you care because someone is budgeting against it
• SQL fluency for transformation and reconciliation, plus comfort scripting. Python is preferred; a strong engineer who knows SQL and another language and will pick up Python works well here
• A preference for automating a check rather than repeating it
• Interest in becoming the definitive expert on how three cloud providers each represent billing — knowledge very few engineers have
• Comfort with AI tooling, used with judgment, to raise coverage and move faster
• Cloud billing across AWS, Azure, or Google Cloud, FinOps, or other financial-data domains
• Data-quality frameworks such as dbt tests, Great Expectations, or Soda
• Workflow orchestration (Argo, Airflow, Dagster) and data pipeline or ETL experience
• Test automation and CI for data or application surfaces
• Experience making data trustworthy for customer-facing or revenue-critical use

Qualifications

Must Haves

• 3+ years of software or data engineering experience, or equivalent hands-on experience building and shipping code
• Strong attention to detail — you notice the number that is subtly wrong, and you care because someone is budgeting against it
• SQL fluency for transformation and reconciliation, plus comfort scripting. Python is preferred; a strong engineer who knows SQL and another language and will pick up Python works well here
• A preference for automating a check rather than repeating it
• Interest in becoming the definitive expert on how three cloud providers each represent billing — knowledge very few engineers have
• Comfort with AI tooling, used with judgment, to raise coverage and move faster

Nice to Haves

• Cloud billing across AWS, Azure, or Google Cloud, FinOps, or other financial-data domains
• Data-quality frameworks such as dbt tests, Great Expectations, or Soda
• Workflow orchestration (Argo, Airflow, Dagster) and data pipeline or ETL experience
• Test automation and CI for data or application surfaces
• Experience making data trustworthy for customer-facing or revenue-critical use

Benefits

• Equity package
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible PTO and company holidays
• Remote-first culture
• Opportunity to shape and scale a category-defining FinTech platform