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Senior Data Engineer

$150k - $200k

MGT Insurance

MGT InsuranceMGT is the first AI-driven, neo-insurer focused on evolving commercial P&C insurance for the brokers and small business owners. By combining the expertise of industry veterans with state-of-the-art technology, we are ushering in the next evolution of commercial insurance and working to move the industry forward through the use of modern technology, better processes, and a rock-star team. We seek visionary leaders who thrive in dynamic, entrepreneurial settings, and excel in autonomous roles.MGT runs its reporting on a cloud data warehouse that turns raw policy administration data into the numbers the business relies on including premium, exposure, and statutory reporting. You'll own those pipelines end to end: ingestion from our policy administration systems, the transformation layers that model the data, and the governed tables that Finance, Actuarial, Underwriting, and Reinsurance report from.This role sits at the integration layer bringing together policy administration systems, rating engines, and third-party sources into one trusted warehouse that powers reporting across the company. There's no separate QA function here. The person who builds the model is the person who proves it ties out. You'll have real autonomy over how the warehouse evolves, and direct visibility with the leaders who depend on it.What Great Looks LikeAgentic solutions let you build at 100x speed and scaleEvery data load has an automated quality check that notifies the data team but resolves itself when business expertise isn't requiredBusiness users have fully governed data with easily retrievable definitions built into the data layerData is an asset every user and agent — Operations, Compliance, Machine Learning — can draw on seamlessly and consistently, with human intervention reserved for edge cases and fresh integrationsWhat You'll DoPipeline & InfrastructureDesign, build, and maintain the SQL transformation models that carry data from raw ingestion through to the reporting layerMaintain and extend the ingestion services that pull from our source systems, and keep them running reliably in productionKeep an eye on warehouse cost, performance, and reliabilityData ModelingModel the insurance domain — policy lifecycle, premium, coverages, limits, and exposure — at the grain the business needs to report onDocument data definitions, business logic, and the decisions behind themData QualityBuild the agentic data quality controls that sit alongside every model, and make sure they'd actually catch a regressionReconcile what you build against an authoritative source, and explain any variance rather than smoothing it overPartnershipWork with Finance, Actuarial, Underwriting, and Product to turn ambiguous requests into reliable, repeatable data productsSupport the BI layer and the analysts who build on top of your workWhat You BringExperience with agentic-driven workflows and developmentSeveral years building production data pipelines, with strong SQL as the core skillExperience with a cloud data warehouse and a SQL transformation framework (Dataform, dbt, or equivalent)Python for data tooling and integrations; comfort with APIs and semi-structured dataA git-based workflow — branches, pull requests, code review, CIGenuine rigor about correctness — you test your own work and know how to prove a number is rightAn entrepreneurial mindset, with the ability to work independently and drive projects to completionComfort in a fast-paced environment where priorities change frequentlyNice to HaveP&C insurance domain knowledge, particularly around premium and policy lifecycleExperience with a policy administration system (Socotra or similar), including running reporting across a legacy and a modern platform at the same timeWorkflow orchestration and cloud platform fundamentals (Airflow preferred)BI or semantic layer experience (Looker preferred)Post-M&A or cross-vendor data integration experienceHow We WorkGoverned sources only — there's a defined path from raw data to reporting, and we use itEvery model carries its own tests — controls ship with the code, not after itSmall, clean pull requestsWrite things down — hard-won knowledge belongs in the repo, not in someone's headLocationHybrid (minimum 3 days a week in office) Denver, CO, Madison, WI, or San Francisco, CA preferred, to facilitate close collaboration with the team.CompensationThe base salary range for this role is $150,000 – $200,000 annually. Compensation will depend on qualifications, experience, and location. This role is also eligible for performance-based bonus and equity, in addition to a comprehensive benefits package.We recognize that no candidate will meet every qualification and encourage individuals with relevant experience and interest in the role to apply.Please note: MGT does not accept unsolicited resumes from staffing vendors, including recruitment agencies and/or search firms. Please do not forward resumes to our jobs alias, MGT employees, or any other company location. Any submittals without a prior signed agreement will become property of MGT.Our Commitment to Diversity, Equity & InclusionAt MGT, inclusion drives excellence and belonging sustains it. We believe diverse perspectives make us stronger, more innovative, and more connected to the people we serve. We value every voice, champion equity, and create space where all people can grow and succeed together.Equal Employment Opportunity StatementMGT is proud to be an Equal Opportunity Employer. We do not discriminate in employment opportunities or practices based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, genetic information, marital status, military or veteran status, or any other status protected by applicable law.All employment decisions are based on qualifications, merit, and business needs. We are committed to providing reasonable accommodations for qualified individuals with disabilities throughout the application and employment process. If you need assistance or accommodations, please contact us at View email address on click.appcast.io job description is intended to outline the general nature and level of work performed by employees in this role. It is not an exhaustive list of all responsibilities, duties, or qualifications required. MGT Insurance reserves the right to modify, interpret, or apply this job description in any way the company deems appropriate.

Vacancy posted 1 day ago
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