Data Engineer

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, 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.

What you’ll do

• 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

About you

Here at Ledgebrook we are passionate about creating a team that is on a continuous learning journey and that shares our excitement about building a company from the ground up. Some of the characteristics we hold dear are:

• A passion to deliver a world-class customer service experience to both internal and external customer
• Intellectual curiosity and desire to innovate processes/procedures versus being satisfied with the status quo
• A desire to continue learning through on-the-job mentorship or formal educational/training opportunities
• Agile prioritization skills coupled with a keen sense of urgency that seeks to balance getting it right versus getting it done right now
• A strong drive and desire to win together as a high-performing team
• A moral compass to "do the right thing, period", we have zero tolerance for toxic behaviors.

Requirements

Must haves

• 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 haves

• 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.

Benefits

• 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

Compensation

• 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.

For Candidates Applying From The U.S.:

Please note: This position is open only to candidates who are authorized to work in the United States without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time.

For Candidates Applying From Poland:

Please note: This position is open only to candidates who are authorized to work in Poland without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time.

For Candidates Applying From Canada:

Please note: This position is open only to candidates who are authorized to work in Canada without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time.