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

Responsibilities:

• Manage 2-4 Data Engineers handling one-on-ones, goal settings, reviews, etc

• Lead defining 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:

• 8 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

• 1-2 years of experience managing Software or Data Engineers

• 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