Senior SDET, Data QA [Remote-US]

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About Us

Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm.

Learn more about us and our work at quanata.com   Our Team   From data scientists and actuaries to engineers, designers and marketers, we’re a world class team of tech-minded professionals from some of the best companies in Silicon Valley, and around the world.  We’ve come together to create the context-based insurance solutions and experiences of the future.  We know that the key to our success isn't just about nailing the technology—it’s hiring the talented people who will help us continue to make a quantifiable impact.

The role

We’re looking for an accomplished and well-rounded Senior SDET with strong experience in testing complex Data Platforms and validating Machine Learning workflows. This role requires a hands-on engineer who can build robust automated test frameworks, work closely with data scientists and engineers, and ensure the reliability, accuracy, and performance of our data-driven systems.

Your day-to-day

1. Design and implement scalable test automation frameworks for data pipelines, ETL workflows, and ML models.
2. Validate large-scale distributed data processing systems (e.g., Step Function, Kafka, Airflow, Snowflake, Databricks).
3. Develop testing strategies for data quality, schema validation, data drift, model accuracy, bias, and regression in ML pipelines.
4. Collaborate with Data Engineers, ML Engineers, and DevOps teams to embed quality throughout the CI/CD lifecycle.
5. Conduct exploratory testing on new features and data/ML outputs to catch edge cases and anomalies.
6. Integrate automated tests into the CI/CD pipeline for continuous validation.
7. Monitor and analyze production issues and help with root cause analysis for data and model failures.
8. Mentor junior SDETs and contribute to test strategy and quality best practices across teams.

About you

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field OR equivalent relevant experience and;
• Typically requires 6 - 8 years of experience in software testing, to include 3 or more years in data platform or ML testing.
• Strong Python skills and experience with testing frameworks (e.g., PyTest, unittest).
• Hands-on experience with data technologies like SQL, Step Function, Kafka, Airflow, Snowflake, Data Lake, or similar.
• Understanding of machine learning concepts, pipelines, and evaluation metrics.
• Experience with tools like dbt tests, or custom validation frameworks.
• Deep knowledge of CI/CD and infrastructure-as-code (e.g., Jenkins, GitHub Actions, Terraform)
• Experience working with Sagemaker Notebook 

Bonus points

• Experience with model interpretability, fairness, and bias testing.
• Familiarity with MLOps platforms like MLflow, SageMaker, or Vertex AI.
• Exposure to monitoring tools like Prometheus, Grafana, or DataDog for data pipelines.
• Knowledge of data governance and compliance practices

Salary: $185,000 to $265,000*

*Please note that the final salary offered will be determined based on the selected candidate's skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization.

Additional Details: 

• Benefits: We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match.
• Work from Home Equipment: Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also