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Senior Data Engineer - Remote Opportunity

Quanataremote
Remote Full-time $215K/yr - $300K/yr

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Experience Level

Senior

Qualifications

Qualifications:Proven experience in data engineering, particularly in designing and maintaining data pipelines. Proficient in using tools such as Kafka, AWS, and other cloud-based services. Strong understanding of data warehousing, ETL processes, and data quality management. Ability to work collaboratively in a fast-paced, innovative environment. Excellent problem-solving skills and analytical thinking.

About the job

To ensure a safe application process, we advise all candidates to remain vigilant during their job search. Quanata will only communicate via email from the domain quanata.com. Any communication from other domains should be disregarded due to potential security risks.

About Us

At Quanata, we are dedicated to revolutionizing the insurance landscape through context-driven solutions. Our team, composed of passionate professionals, thrives on innovation in technology, digital products, and branding. We combine top-tier talent from Silicon Valley with the steadfast support of our esteemed partner, State Farm.

Discover more about our mission and initiatives at quanata.com
 
Our Team
 
Our world-class team includes data scientists, actuaries, engineers, designers, and marketers, all from premier companies globally. Together, we are crafting the future of context-based insurance solutions and experiences, recognizing that our success is rooted in our talented workforce.

The Role

We are seeking a Senior Data Engineer to enhance our team’s ability to deliver data science services and streaming data pipelines. In this role, you will develop data pipelines that consolidate information from various sources to assess insured risks, support data science models, and facilitate access to vital datasets for both our business and partners.

Your Day-to-Day Responsibilities

  1. Design and implement robust data pipelines that integrate data from various sources to facilitate risk assessment and business intelligence.
  2. Develop streaming data pipelines utilizing Kafka and AWS services to support real-time data processing and informed decision-making.
  3. Create and manage data services that provide curated datasets to internal teams and external partners through APIs and scheduled deliveries.
  4. Enhance data science workflows by establishing infrastructure for model training, feature engineering, and production inference.
  5. Implement data quality frameworks, including validation, monitoring, and alerting, to maintain the integrity of our data assets.

About Quanata

Quanata is committed to transforming the insurance industry with innovative, context-based solutions. Our customer-focused team is dedicated to developing cutting-edge technologies and digital experiences, backed by the long-term support of State Farm.

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