Ledgebrook
Posted 24 days agoVerified live 1d ago
Data Engineer
Brief overview
Remote
UndergradOr in progress
$100k–$170k/yrStated range
4+ yrsMinimum
Data EngineeringPythonSQLNoSQL DatabasesInfrastructure as Code (IaC)Data ModelingELT ProcessesData WarehousingData ArchitectureData Security and Privacy RegulationsCloud Computing AWSCloud Computing AzureCloud ComputingCloud Computing GCPCloud Data Platforms SnowflakeCloud Data Platforms DatabricksCloud Data Platforms
About the company
Ledgebrookledgebrook.com
Modernizing Speciality Insurance
Job description
Summary
Ledgebrook is an insurance company seeking a Data & Analytics Engineer to solve complex technical challenges in a changing insurance landscape. The role will own key parts of the data stack, design scalable data architecture and pipelines, establish governance and security practices, and partner with business and engineering stakeholders to support reporting and operational objectives.
Responsibilities
- 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
Skills
- 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)
- 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
- For Candidates Applying From The U.S. and Canada:
- *Please note: This position is open only to candidates who are authorized to work in the United States or Canada without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time.*
- Prior startup experience
- Experience with Terraform (IaC)
Qualifications
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)
- 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
- For Candidates Applying From The U.S. and Canada:
- *Please note: This position is open only to candidates who are authorized to work in the United States or Canada without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time.*
Nice to Haves
- Prior startup experience
- Experience with Terraform (IaC)
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.
- Employees in this position are eligible to participate in Ledgebrook’s equity incentive program.
