Quanata - Senior Data Engineer, MLOps [Remote-US]
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Requirements
• Experience in designing and developing large-scale distributed systems, complex APIs, or contributing significantly to platform-level software engineering projects. • Proficiency in utilizing Snowflake's advanced capabilities for ML, such as Snowpark for Python/Java/Scala development, creating and managing user-defined functions (UDFs) for in-database scoring, or integrating directly with external model training and serving platforms. • Prior experience working within the insurance industry or another highly regulated environment, demonstrating an understanding of pertinent regulatory, security, and data governance challenges.
Responsibilities
• Operationalize key data science solutions that enable risk‑prediction products across underwriting, pricing, claims routing, and marketing. • Operationalize key data science solutions • Design and build ML pipelines using industry best practices, primarily leveraging AWS services like SageMaker, and integrating with tools such as MLflow for experiment tracking and data platforms like Snowflake. • Design and build ML pipelines • Stand‑up and operate a shared feature store (Snowflake Snowpark + Kafka) that supports both batch and real‑time feature retrieval. • Stand‑up and operate a shared feature store • Own real‑time inference services, exposing low‑latency endpoints (SageMaker endpoints or EKS micro‑services) and managing blue/green or canary deployments. • Own real‑time inference services, • Implement comprehensive testing strategies (including Unit, integration, data validation, model validation, and performance testing) within robust CI/CD pipelines to maintain high platform quality. • Implement comprehensive testing strategies • Enable ML Governance: Manage ML models and data versioning, experiment tracking, and reproducibility.. • Enable ML Governance: • Implement event‑driven orchestration that triggers automated retraining, evaluation, and redeployment based on data drift or business events. • Implement event‑driven orchestration • Monitor production models for performance, drift, and data quality—and drive automated remediation. • Monitor production models • Bachelor degree or equivalent relevant experience and; • 8 years of industry experience with 2 years focused in MLOps and 2 years in software engineering or equivalent experience • Comprehensive experience in Python and docker. Familiarity with build tooling such as bash and bazel. • Advanced proficiency in IaC principles and tools like Terraform. • Demonstrated expertise in designing, deploying, and managing scalable and resilient MLOps solutions on AWS. • Applied expertise in the end-to-end machine learning lifecycle, including data ingestion, preprocessing, model training, deployment, and production monitoring. • Excellent written and verbal communication with a strong collaborative focus. • proficiency in designing and implementing workflows using tools like AWS Step Functions • Experience with CI/CD tailored for machine learning systems (e.g., automating model training, validation, and deployment)
Benefits
• 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: • 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. • Work from Home Equipment • 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. • Paid Time Off: • 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. • Personal and Professional Development: • 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. • Location • occasional travel may be requested or encouraged but is not required • Hours: We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all time zones. • Hours • 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. • 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.
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