Data Quality Engineer: AI Pipelines & Validation (Hybrid)

Consortia Group; Austin (TX); Hybrid; USD 90,000 - 110,000; Full time

Benefits offered by this job

Competitive salary aligned with Austin market benchmarks

Health insurance

Paid time off

Career growth opportunities

Dedicated budget for continuous learning

Job summary

A leading technology firm in Austin, Texas is seeking a Data Quality Engineer to ensure the reliability and accuracy of data in ML and analytics pipelines. The ideal candidate will have over 4 years of experience in Quality Engineering, proficiency in Python and SQL, and strong knowledge of CI/CD practices. This role offers a competitive salary, health insurance, and opportunities for career growth within an expanding global organization focused on AI and data intelligence.

Qualifications

• 4+ years’ experience in Quality Engineering, ML Test Automation or Data Quality.
• Proficiency in Python and SQL to build validation tools and test frameworks.
• Hands-on experience with CI/CD pipelines and orchestration tools.

Responsibilities

• Build automated data quality test frameworks across ML and analytics pipelines.
• Implement and maintain end-to-end regression and integration tests in CI/CD.
• Deploy and test network sensors across multiple IT environments.

Skills

Quality Engineering

ML Test Automation

Data Quality

Python

SQL

CI/CD pipelines

Distributed systems

Cloud infrastructure

Tools

CircleCI

GitHub Actions

Airflow

MLflow

Kubeflow

Kafka

AWS S3

Snowflake

BigQuery

Great Expectations

dbt

Deequ

Docker

Kubernetes

Job description

A leading technology firm in Austin, Texas is seeking a Data Quality Engineer to ensure the reliability and accuracy of data in ML and analytics pipelines. The ideal candidate will have over 4 years of experience in Quality Engineering, proficiency in Python and SQL, and strong knowledge of CI/CD practices. This role offers a competitive salary, health insurance, and opportunities for career growth within an expanding global organization focused on AI and data intelligence.