Senior Data Engineer

$120,000 - $200,000 / Year 
Senior level

Job Description

We’re united by a mission: to make the world a safer place. Corvus Insurance uses novel data and artificial intelligence/machine learning to achieve better insights into commercial insurance risk. Our software empowers brokers and policyholders to better predict and prevent complex claims through data-driven tools and Smart Commercial Insurance policies. This allows us to reduce or eliminate the impact of adverse events, creating a safer world for everyone. Drawing inspiration from the intelligent, tool-building corvid family of birds, we are a team of high-flying collaborative builders. We’re excited to meet you. Spread your wings and soar with us.

Corvus is seeking a Senior Data Engineer who will work alongside Product, Data Science and Engineering to build out and sustain a modern data platform that serves data analytics as a product to our internal stakeholders - Underwriting, Actuary, Sales, Claims, and Finance.

As a Senior Data Engineer, you’ll lead the technical direction of a team that will deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of data analysts, engineers and data consumers in a fast and flexible environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of cloud scalable platforms.


  • Help execute the roadmap for the Data Platform and related data initiatives

  • Identify use cases and define OKRs for data initiatives as they relate to driving company priorities

  • Collaborate across teams to understand cross-functional uses of data and its transformation to create meaningful services, reporting and insights generation

  • Develop, deploy, and maintain data pipelines for ingesting, processing, and storing structured and unstructured data including ETL processes

  • Collaborate with the team to provide data-driven insights and support the organization's data analytics needs

  • Ensure data security, privacy, and compliance by implementing appropriate policies, procedures, and encryption methods

  • Monitor and optimize the performance, scalability, and cost-efficiency of data storage and processing solutions

What you’ll bring to the flock:

  • 5 years of experience designing, developing, operationalizing, and maintaining data applications in a cloud environment such as AWS, GCP or Azure

  • 5 years of experience creating software for retrieving, parsing, and processing structured and unstructured data

  • Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery

  • Familiarity with AWS Services (Redshift, RDS, EKS, S3, EMR, Glue, Lambda) is preferred

  • 5 years of experience building scalable ETL/ELT workflows for reporting and analytics

  • Experience with orchestration tools such as Airflow, 5Tran, Dagster, or Prefect, with dbt

  • Advanced working knowledge of Python, SQL, Elixir, or Java

  • Experience ingesting, processing, and visualizing data sources of varying types - structured/relational and unstructured

  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms

  • Solid understanding of the Product Development Lifecycle

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

  • Strong project management and organizational skills

  • Bachelor’s or Master’s degree in Computer Science, ML, Engineering or related discipline or equivalent experience

Compensation Range: $120K - $200K

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30+ days ago
Last updated 30+ days ago

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