Senior SDET – Data QA [Remote-US]
About the role
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 Quanata, LLC is an insurance technology innovation company that engineers advanced risk prediction and prevention solutions, develops risk-focused acquisition capabilities, and builds/supports a full-stack, flexible, digital & increasingly AI-native insurance platform. This helps our primary clients, State Farm and HiRoad Assurance Company, adapt to evolving market needs. Quanata, LLC is wholly owned and funded by State Farm.As a company that prioritizes an inclusive and positive culture, we believe the core of our success is in hiring talented people — across disciplines — who want to help us make a quantifiable impact.
The Role
Are you passionate about building quality into modern data platforms and machine learning solutions? As a Senior Software Development Engineer in Test (SDET) on our Data Platform QA team, you'll play a critical role in ensuring the reliability, accuracy, and performance of the data systems that power our products.
In this hands-on individual contributor role, you'll design and build scalable automated test frameworks that validate complex data pipelines, ETL workflows, and machine learning models. Working closely with Data Engineers, Machine Learning Engineers, DevOps teams, and Data Scientists, you'll help embed quality throughout the development lifecycle and ensure confidence in every release.
Your work will directly support our mission of leveraging contextual data to drive positive behaviors by safeguarding the quality and integrity of the data that drives our platform.
Your Day-to-Day
- Design, build, and maintain scalable automated test frameworks for data pipelines, ETL workflows, and machine learning models.
- Validate large-scale distributed data processing systems using technologies such as Step Functions, Kafka, Airflow, Snowflake, and Databricks.
- Develop testing strategies for data quality, schema validation, data drift, model accuracy, bias, and regression testing across ML pipelines.
- Partner with Data Engineers, ML Engineers, and DevOps teams to embed quality throughout the CI/CD lifecycle.
- Perform exploratory testing on new features and data or machine learning outputs to identify edge cases and improve system reliability.
- Integrate automated tests into CI/CD pipelines to enable continuous validation.
- Monitor production issues and participate in root cause analysis for data and machine learning model failures.
- Mentor junior SDETs and contribute to testing strategy and quality engineering best practices across teams.
About You
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and relevant experience.
- 6–8 years of experience in software testing, including at least 3 years focused on data platform or machine learning testing.
- Strong Python skills with hands-on experience using testing frameworks such as PyTest or unittest.
- Hands-on experience with SQL and data technologies such as Step Functions, Kafka, Airflow, Snowflake, Data Lake, or similar platforms.
- Understanding of machine learning concepts, pipelines, and evaluation metrics.
- Experience with dbt tests or custom data validation frameworks.
- Deep knowledge of CI/CD and infrastructure as code, including Jenkins, GitHub Actions, and Terraform.
- Experience working with SageMaker Notebook.
Bonus Points
- Experience with model interpretability, fairness, and bias testing.
- Familiarity with MLOps platforms such as MLflow, SageMaker, or Vertex AI.
- Exposure to monitoring tools such as Prometheus, Grafana, or DataDog for data pipelines.
- Knowledge of data governance and compliance practices.
Salary: $198,502 – $281,694
*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, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day.
- Paid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent.
- Personal and Professional Development: We’re committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp.
- Location: We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions, occasional travel may be requested or encouraged but is not required. Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired.
- Hours: We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all 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 for employment 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. https://www.sf.gov/sites/https://www.sf.gov/sites/default/files/2022-12/FCO%20poster2020_0.pdf 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.Description as published by Quanata.
