Sigma360 · 1 day ago
Data QA Engineer
United States
Full-time
Remote
Entry, Mid Level
2+ years expSigma360 is an AI-driven global data and analytics company that helps clients manage risk by converting messy data into actionable insights. The Data QA Engineer role is essential for ensuring data quality across ingestion, transformation, and customer-facing outputs through automated checks and validation processes.
Artificial Intelligence (AI)BankingBig DataCloud Data ServicesInsurTechMachine LearningRisk Management
Responsibilities
Build automated data quality checks on ingested and normalized tables (schema, nulls, duplicates, ranges, consistency)
Validate that source integrations are working as expected (e.g., confirming new content appears on the expected cadence and matches source-of-truth expectations)
Create drift and change detection for recurring ingests (volume deltas, distribution shifts, unexpected changes)
Implement release gates so suspicious or broken data does not ship downstream
Maintain dashboards and alerts so data health is visible and actionable
Partner with data engineering on quality standards, test coverage, and debugging workflows for pipelines and integrations
Partner with QA and backend teams on end-to-end checks confirming the UI/API returns correct, high-quality data (not just that features load)
Qualification
Required
2+ years in a relevant role (QA automation, data engineering, analytics engineering, or similar)
Strong SQL and Python
Strong pandas/dataframe skills (most work is table-based validation and analysis)
Experience designing automated checks and validation logic (test strategy, reliability, failure triage)
Comfort working with production data systems: investigating anomalies, validating outputs, and debugging data issues
Strong written communication and ability to work autonomously in a remote environment
Ability to overlap at least 4 hours with NYC business hours (9am–5pm ET)
Preferred
Experience with Spark / PySpark or Databricks
Familiarity with data quality concepts (expectations, constraints, anomaly detection, drift)
Experience testing APIs or backend services (for end-to-end data correctness)
Experience working with lakehouse/warehouse patterns (Delta Lake, parquet-based pipelines, etc.)
Bachelor's degree (or equivalent practical experience) in a relevant field
Benefits
Health, dental, vision, and other benefits (or local equivalent)
Generous time off and a culture that supports learning and growth
Company
Sigma360
Sigma360 is a leading AI-driven risk intelligence platform used by global organizations to fight financial crime and make more informed counterparty risk decisions.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$4.2MKey Investors
Phoenix Financial
2022-06-21Seed· $3M
2020-10-15Pre Seed· $1.2M
Company data provided by crunchbase