Data & Analytics Engineer (Data Engineer) at Ledgebrook | Torre

Data & Analytics Engineer (Data Engineer)

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Full-time

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Remote (for United States residents)
Remote (for Canada residents)
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Emma of Torre.ai
about 1 month ago

Responsibilities


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 doPartner with leadership, engineers, underwriters, and actuaries to understand data requirementsDesign, 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 requirementsDesign data architecture to accommodate data pipelines to move data across a multitude of platformsCraft 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 initiativesDefine security and backup proceduresCommunicate effectively with technical and non-technical audiencesBuild a data-driven culture throughout the organizationElevate our technology and best practices through partnership with the Director of Data and Analytics EngineeringAbout youA passion to deliver a world-class customer service experience to both internal and external customerIntellectual curiosity and desire to innovate processes/procedures versus being satisfied with the status quoA desire to continue learning through on-the-job mentorship or formal educational/training opportunitiesAgile prioritization skills coupled with a keen sense of urgency that seeks to balance getting it right versus getting it done right nowA strong drive and desire to win together as a high-performing teamA moral compass to "do the right thing, period", we have zero tolerance for toxic behaviors.RequirementsMust haves4+ 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 solutionsStrong experience with PythonExperience with IaCStrong experience with SQL and NoSQL databases.Experience with data modeling, ELT processes, and data warehousing.Understanding of data security and user data privacy regulationsExperience with cloud computing solutions such as AWS, Azure, or GCP.Experience with cloud data solutions such Snowflake, Databricks, or Big QueryFamiliarity with data visualization tools (e.g. Power BI, Tableau, Looker)Nice to havesPrior startup experienceExperience with Terraform (IaC)Strong understanding of data governance and security best practices.Experience with data transformation tools like dbtExperience with data loading tools like Fivetran and HevoDataExperience with data orchestration tools like AirflowExperience solving insurance industry / domain related challengesExperience building and deploying LLM applicationsStrong background in time series forecasting, NLP, and predictive modeling.Degree in a science or engineering disciplineStrong experience with data analytics, statistics, and data science concepts.BenefitsFull remote flexibility and asynchronous work cultureUnlimited PTO and fully paid sick leaveComprehensive health benefits, including medical, dental, and vision coverage, plus HSA and FSA optionsAdditional financial protection and retirement benefits, including a 401(k), company-paid life insurance, and disability coverageA high degree of ownership, autonomy, and the opportunity to help build and shape a growing companyThe chance to make a meaningful impact while working alongside an ambitious, high-performing teamExposure to the challenges and opportunities of a fast-growing startup environmentCompensationBase 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.Ledgebrook may use Artificial Intelligence (“AI”) as part of the job application process, including to assist us in evaluating your application. AI is used as a support tool, and hiring decisions are made by human recruiters. By submitting your information, you acknowledge that the company may use AI tools as part of our evaluation. If you need a reasonable accommodation or alternative review process because of a disability or other legally protected basis, contact hiring@ledgebrook.com. Requesting an accommodation will not negatively affect your application.