To help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk.
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.
We're looking for a Senior Data Engineer to help the team deliver data science services and streaming data pipelines. Over the course of your time with Quanata, you will have the opportunity to develop data pipelines that bring together data from multiple sources to evaluate insured risk, deliver services that enable data science models, and enable business and partner access to key datasets.
- Design and build robust data pipelines that integrate data from diverse sources to support risk evaluation and business intelligence.
- Build streaming data pipelines using Kafka and AWS services to enable real-time data processing and decision-making.
- Create and operate data services that make curated datasets accessible to internal teams and external partners through APIs and scheduled deliveries.
- Support data science workflows by building infrastructure that enables model training, feature engineering, and production inference.
- Implement data quality frameworks including validation, monitoring, and alerting to maintain trust in our data assets.
- Contribute to CI/CD pipelines and infrastructure-as-code practices to ensure reliable, repeatable deployments.
- Deliver highly reliable services by following engineering best practices and participating in an on-call rotation to support production systems.
- Contribute to the data warehouse by creating well-modeled datasets in Snowflake that empower analysts and data scientists.
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver solutions that drive value.
- Bachelor's degree or equivalent relevant experience and;
- 6-8 years of industry experience in data engineering or software engineering with a focus on data systems.
- Strong proficiency in Python and SQL for data pipeline development and analysis.
- Experience with AWS data platforms (Glue, S3, Athena, Lambda, Step Functions).
- Familiarity with Snowflake or similar cloud data platforms.
- Familiarity with streaming technologies such as Kafka or Kinesis.
- Experience with workflow orchestration tools (Airflow, Step Functions, or similar).
- Proficiency in infrastructure-as-code tools like Terraform.
- Understanding of data modeling principles.
- Excellent written and verbal communication with a strong collaborative focus.
- Experience with CI/CD tailored for machine learning systems (e.g., automating model training, validation, and deployment)
- Prior experience working within the insurance industry or another highly regulated environment, demonstrating an understanding of pertinent regulatory, security, and data governance challenges.
- Familiarity with ML infrastructure and supporting data science teams in productionizing models.
- Experience designing and building feature stores or real-time feature serving systems.
- Exposure to data governance and cataloging tools (e.g., DataHub, Atlan, or similar).
Salary: $215,000 to $300,000*
- 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, 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.
