[Remote] Senior Data Engineer [Remote-US]

Note: The job is a remote job and is open to candidates in USA. Quanata is on a mission to help ensure a better world through context-based insurance solutions. They are seeking a Senior Data Engineer to help deliver data science services and build data pipelines that integrate data from multiple sources for risk evaluation and business intelligence. Responsibilities • 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 Skills • Bachelor's degree or equivalent relevant experience • 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) Benefits • Medical • Dental • Vision • Life insurance • Supplemental income plans for you and your dependents • Headspace app subscription • Monthly wellness allowance • 401(k) Plan with a company match • One-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture • Four weeks of PTO in their first year of employment • Twelve weeks of fully paid parental leave • $5000 each year for professional learning, continuing education and career development • LinkedIn Learning subscriptions • Access to multiple different coaching opportunities through BetterUp Company Overview • Quanata is on a mission to help ensure a better world through context-based insurance solutions. It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is Company H1B Sponsorship • Quanata has a track record of offering H1B sponsorships, with 2 in 2024, 7 in 2023, 11 in 2022, 12 in 2021, 8 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job