Quanata, LLC
The role
Were 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. Design and implement scalable test automation frameworks for data pipelines, ETL workflows, and ML models. Develop testing strategies for data quality, schema validation, data drift, model accuracy, bias, and regression in ML pipelines. Collaborate with Data Engineers, ML Engineers, and DevOps teams to embed quality throughout the CI/CD lifecycle. Conduct exploratory testing on new features and data/ML outputs to catch edge cases and anomalies. Integrate automated tests into the CI/CD pipeline for continuous validation. Monitor and analyze production issues and help with root cause analysis for data and model failures. Mentor junior SDETs and contribute to test strategy and quality best practices across teams. About you
Bachelors or Masters degree in Computer Science, Engineering, or related field OR equivalent relevant experience. 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. 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. Benefits and other details
Benefits : Health, wellness and other benefits including medical, dental, vision, life insurance and supplemental income plans; Headspace app subscription; monthly wellness allowance; and a 401(k) Plan with company match. Work from Home Equipment : One-time payment of $2K for home office equipment and furniture; MacBook Pros mailed fully provisioned prior to first day. Paid Time Off : Four weeks of PTO in the first year; twelve weeks of fully paid parental leave for eligible new parents. Personal and Professional Development : Up to $5000 yearly for professional learning; LinkedIn Learning subscriptions; coaching opportunities through BetterUp. Location : Remote-first for most positions; some travel may be requested or encouraged but not required. SF Bay Area or Providence, RI employees may commute to local offices as desired. Hours : Core meeting hours from 9AM - 2PM Pacific time for collaboration across time zones. Equality and compliance : Quanata, LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. Other disclosures : This role is employed by Quanata, LLC which is a separate company in the State Farm family of companies. If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance. Demographic questions
Quanata may include voluntary demographic questions to help us assess diversity in our applicant pool. Your responses will not affect your candidacy. #J-18808-Ljbffr
Were 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. Design and implement scalable test automation frameworks for data pipelines, ETL workflows, and ML models. Develop testing strategies for data quality, schema validation, data drift, model accuracy, bias, and regression in ML pipelines. Collaborate with Data Engineers, ML Engineers, and DevOps teams to embed quality throughout the CI/CD lifecycle. Conduct exploratory testing on new features and data/ML outputs to catch edge cases and anomalies. Integrate automated tests into the CI/CD pipeline for continuous validation. Monitor and analyze production issues and help with root cause analysis for data and model failures. Mentor junior SDETs and contribute to test strategy and quality best practices across teams. About you
Bachelors or Masters degree in Computer Science, Engineering, or related field OR equivalent relevant experience. 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. 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. Benefits and other details
Benefits : Health, wellness and other benefits including medical, dental, vision, life insurance and supplemental income plans; Headspace app subscription; monthly wellness allowance; and a 401(k) Plan with company match. Work from Home Equipment : One-time payment of $2K for home office equipment and furniture; MacBook Pros mailed fully provisioned prior to first day. Paid Time Off : Four weeks of PTO in the first year; twelve weeks of fully paid parental leave for eligible new parents. Personal and Professional Development : Up to $5000 yearly for professional learning; LinkedIn Learning subscriptions; coaching opportunities through BetterUp. Location : Remote-first for most positions; some travel may be requested or encouraged but not required. SF Bay Area or Providence, RI employees may commute to local offices as desired. Hours : Core meeting hours from 9AM - 2PM Pacific time for collaboration across time zones. Equality and compliance : Quanata, LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. Other disclosures : This role is employed by Quanata, LLC which is a separate company in the State Farm family of companies. If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance. Demographic questions
Quanata may include voluntary demographic questions to help us assess diversity in our applicant pool. Your responses will not affect your candidacy. #J-18808-Ljbffr