Quanata
Overview
We are seeking 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. Responsibilities
Design and implement scalable test automation frameworks for data pipelines, ETL workflows, and ML models. Validate large-scale distributed data processing systems (e.g., Step Function, Kafka, Airflow, Snowflake, Databricks). 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. Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field OR equivalent relevant experience. Typically requires 6 - 8 years of experience in software testing, including 3+ 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 Notebooks. Bonuses
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. Compensation
Salary:
$185,000 to $265,000 *Final salary offered will be determined based on the candidate’s skills, experience, and internal salary structure at Quanata. We aim to offer a competitive and equitable compensation package. Additional Details
Benefits : We provide health, wellness and other benefits, including 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 company match. Work from Home Equipment : A one-time payment of $2,000 will be provided for home office equipment; MacBook Pros will be delivered fully provisioned prior to the first day. Paid Time Off : Four weeks of PTO in the first year; new parents receive twelve weeks of fully paid parental leave within one year of birth/adoption, applicable to both birthing and non-birthing parent. Personal and Professional Development : Up to $5,000 per year for professional learning; LinkedIn Learning subscriptions; coaching opportunities through BetterUp. Location : Remote-first for most positions; may require occasional travel. Some positions may have location requirements. Employees in SF Bay Area or Providence may commute to local offices if desired. Hours : Core meeting hours from 9:00 AM – 2:00 PM Pacific Time for collaboration across time zones. 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. If you are a San Francisco resident, please read the City and County of San Francisco’s Fair Chance Ordinance notice. This role is employed by Quanata, LLC, 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.
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We are seeking 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. Responsibilities
Design and implement scalable test automation frameworks for data pipelines, ETL workflows, and ML models. Validate large-scale distributed data processing systems (e.g., Step Function, Kafka, Airflow, Snowflake, Databricks). 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. Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field OR equivalent relevant experience. Typically requires 6 - 8 years of experience in software testing, including 3+ 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 Notebooks. Bonuses
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. Compensation
Salary:
$185,000 to $265,000 *Final salary offered will be determined based on the candidate’s skills, experience, and internal salary structure at Quanata. We aim to offer a competitive and equitable compensation package. Additional Details
Benefits : We provide health, wellness and other benefits, including 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 company match. Work from Home Equipment : A one-time payment of $2,000 will be provided for home office equipment; MacBook Pros will be delivered fully provisioned prior to the first day. Paid Time Off : Four weeks of PTO in the first year; new parents receive twelve weeks of fully paid parental leave within one year of birth/adoption, applicable to both birthing and non-birthing parent. Personal and Professional Development : Up to $5,000 per year for professional learning; LinkedIn Learning subscriptions; coaching opportunities through BetterUp. Location : Remote-first for most positions; may require occasional travel. Some positions may have location requirements. Employees in SF Bay Area or Providence may commute to local offices if desired. Hours : Core meeting hours from 9:00 AM – 2:00 PM Pacific Time for collaboration across time zones. 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. If you are a San Francisco resident, please read the City and County of San Francisco’s Fair Chance Ordinance notice. This role is employed by Quanata, LLC, 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.
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