Data Engineer

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Data EngineerData

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Quick Summary

Overview

About the Role We’re looking for a talented Data & Analytics Engineer to help us solve the complex, technical challenges of a changing insurance landscape. The ideal candidate loves to build,

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Data EngineerData

About the Role

~1 min read

We’re looking for a talented Data & Analytics Engineer to help us solve the complex, technical challenges of a changing insurance landscape. The ideal candidate loves to build, communicates well with business stakeholders, and is motivated by a fast-paced environment. This person will be a key leader of our engineering team, with direct ownership of many parts of the stack.

Responsibilities

~1 min read

→Partner with leadership, engineers, underwriters, and actuaries to understand data requirements
→Design, develop and deploy a scalable modern data stack to support business objectives (application, reporting and the like)
→Design data conceptual and logical models to support business workflow, application functionality and reporting requirements
→Design data architecture to accommodate data pipelines to move data across a multitude of platforms
→Craft a data governance structure to ensure integrity of data and information flow has proper cadence and structure to exceed business objectives while ensuring scalability to support growth initiatives
→Define security and backup procedures
→Communicate effectively with technical and non-technical audiences
→Build a data-driven culture throughout the organization
→Elevate our technology and best practices through partnership with the Director of Data and Analytics Engineering

Requirements

~1 min read

4+ years of experience in data engineering, with a track record of designing and managing complex data systems.
Ability to facilitate and gather business requirements and come up with scalable engineering solutions
Strong experience with Python
Experience with IaC
Strong experience with SQL and NoSQL databases.
Experience with data modeling, ELT processes, and data warehousing.
Understanding of data security and user data privacy regulations
Experience with cloud computing solutions such as AWS, Azure, or GCP.
Experience with cloud data solutions such Snowflake, Databricks, or Big Query
Familiarity with data visualization tools (e.g. Power BI, Tableau, Looker)

Nice to Have

~1 min read

Prior startup experience
Experience with Terraform (IaC)
Strong understanding of data governance and security best practices.
Experience with data transformation tools like dbt
Experience with data loading tools like Fivetran and HevoData
Experience with data orchestration tools like Airflow
Experience solving insurance industry / domain related challenges
Experience building and deploying LLM applications
Strong background in time series forecasting, NLP, and predictive modeling.
Degree in a science or engineering discipline
Strong experience with data analytics, statistics, and data science concepts.

What We Offer

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✓Full remote flexibility and asynchronous work culture

✓Unlimited PTO and fully paid sick leave

✓Comprehensive health benefits, including medical, dental, and vision coverage, plus HSA and FSA options

✓Additional financial protection and retirement benefits, including a 401(k), company-paid life insurance, and disability coverage

✓A high degree of ownership, autonomy, and the opportunity to help build and shape a growing company

✓The chance to make a meaningful impact while working alongside an ambitious, high-performing team

✓Exposure to the challenges and opportunities of a fast-growing startup environment

✓Base Salary Range $100,000-170,000 This is a good-faith compensation range based on what Ledgebrook reasonably expects to pay for this position at the time of this posting. Actual compensation may vary based on a variety of relevant factors including experience, qualifications, geographic location and other relevant factors.

✓Employees in this position are eligible to participate in Ledgebrook’s equity incentive program.