Staff Data Engineer building pipelines, models, and infrastructure for exacare ai’s post - acute care AI platform. Turning healthcare data into reliable foundations for product, analytics, and ML workflows.
About the role
- Data & Analytics Engineer building scalable data platforms for Ledgebrook, an insurance company. Designing pipelines, governance, and cloud data systems while partnering with technical and insurance teams.
Responsibilities
- Partner with leadership, engineers, underwriters, and actuaries to understand data requirements
- Design, develop, and deploy a scalable modern data stack supporting application, reporting, and business objectives
- Design conceptual and logical data models supporting business workflows, application functionality, and reporting requirements
- Design data architecture for pipelines moving data across multiple platforms
- Create a data governance structure ensuring data integrity and appropriately structured information flow
- Define security and backup procedures
- Communicate with technical and non-technical audiences
- Build a data-driven culture throughout the organization
- Elevate technology and best practices in partnership with the Director of Data and Analytics Engineering
Requirements
- 4+ years of experience in data engineering, designing and managing complex data systems
- Ability to facilitate and gather business requirements and develop scalable engineering solutions
- Strong experience with Python
- Experience with infrastructure as code (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 as Snowflake, Databricks, or BigQuery
- Familiarity with data visualization tools such as Power BI, Tableau, or Looker
- Prior startup experience is a nice to have
- Experience with Terraform, data governance and security best practices, dbt, Fivetran, HevoData, Airflow, insurance-domain challenges, LLM applications, time series forecasting, NLP, predictive modeling, data analytics, statistics, and data science concepts are nice to haves
- Degree in a science or engineering discipline is listed as a nice to have
- Candidates applying from the United States, Poland, or Canada must be authorized to work in the applicable country without current or future employer-sponsored work authorization
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
- Employees in this position are eligible to participate in Ledgebrook’s equity incentive program
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