What are the responsibilities and job description for the Data Quality Engineer position at Consortia?
As the demand for trusted, intelligent asset data accelerates, the role of data quality has never been more critical. In this newly created role, you’ll play a key part in safeguarding the accuracy and reliability of integrated data pipelines, working at the heart of a high-growth global software company scaling AI and data products.
You’ll be joining the Quality Engineering (QE) team, driving automated testing across complex data and machine learning pipelines. Collaborating closely with engineers from a recent acquisition, you’ll help unify infrastructure and bring intelligent systems to life—ensuring insights delivered to global clients are based on complete, validated data.
What’s on Offer:
- Competitive salary benchmarked to the Austin market
- Hybrid work (local to Austin) with a collaborative and highly technical team
- Comprehensive benefits package including medical coverage and generous PTO
- Career growth within a scaling software company investing deeply in AI and data reliability
- Ongoing learning across data governance, quality engineering, and ML systems
Where You’ll Make an Impact:
- Design and build automated test frameworks across ML and analytics pipelines
- Ensure smooth integration between two sophisticated data infrastructures
- Develop regression and end-to-end tests within CI/CD workflows (CircleCI, GitHub Actions)
- Validate deployments of on-prem network sensors in varied IT environments
- Monitor and proactively resolve anomalies through dashboards and alerting systems
- Champion data profiling, validation, and quality test strategies across the engineering team
You’ll Thrive Here If You Have:
- 4 years in Quality Engineering, Data QA, or ML Test Automation
- Strong Python and SQL skills for validation tooling and data checks
- Experience automating test workflows within CI/CD (Airflow, MLflow, Kubeflow)
- Familiarity with data quality frameworks like Great Expectations, dbt, or Apache Deequ
- Exposure to distributed systems (e.g., Kafka) and cloud platforms (AWS S3, Snowflake, BigQuery)
Bonus Points:
- Rust experience
- Familiarity with Docker, Kubernetes, and networking concepts
- Experience testing across AWS, Azure, and GCP environments
If you’re passionate about combining automated QA, ML pipeline testing, and data reliability, this is a rare opportunity to help shape a quality-first culture inside a fast-moving, AI-driven product environment.
Consortia is a specialist recruitment agency with consultants focused on global roles within UX, Product, Data, and Engineering markets. If this Data Quality Engineer job in Austin doesn't align with your preferences, but you are open to exploring other opportunities, please still register by applying to this role so we can match you to other requirements.
Kindly be aware that we cannot respond individually due to the high volume of applications; however, even if we do not contact you to move forward for this role, we will keep your details for future reference when a more suitable opportunity becomes available.