MGT Insurance
Senior Data Engineer
- Confirmed live in the last 24 hours
- $150k–$200k
- Senior and above
- Full-time
- Remote · Denver, CO
- Added today
About this role
About MGT Insurance
MGT 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 Like
Agentic solutions let you build at 100x speed and scale
Every data load has an automated quality check that notifies the data team but resolves itself when business expertise isn't required
Business users have fully governed data with easily retrievable definitions built into the data layer
Data 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 integrations
What You'll Do
Pipeline & Infrastructure
Design, build, and maintain the SQL transformation models that carry data from raw ingestion through to the reporting layer
Maintain and extend the ingestion services that pull from our source systems, and keep them running reliably in production
Keep an eye on warehouse cost, performance, and reliability
Data Modeling
Model the insurance domain — policy lifecycle, premium, coverages, limits, and exposure — at the grain the business needs to report on
Document data definitions, business logic, and the decisions behind them
Data Quality
Build the agentic data quality controls that sit alongside every model, and make sure they'd actually catch a regression
Reconcile what you build against an authoritative source, and explain any variance rather than smoothing it over
Partnership
Work with Finance, Actuarial, Underwriting, and Product to turn ambiguous requests into reliable, repeatable data products
Support the BI layer and the analysts who build on top of your work
What You Bring
Experience with agentic-driven workflows and development
Several years building production data pipelines, with strong SQL as the core skill
Experience 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 data
A git-based workflow — branches, pull requests, code review, CI
Genuine rigor about correctness — you test your own work and know how to prove a number is right
An entrepreneurial mindset, with the ability to work independently and drive projects to completion
Comfort in a fast-paced environment where priorities change frequently
Nice to Have
P&C insurance domain knowledge, particularly around premium and policy lifecycle
Experience with a policy administration system (Socotra or similar), including running reporting across a legacy and a modern platform at the same time
Workflow orchestration and cloud platform fundamentals (Airflow preferred)
BI or semantic layer experience (Looker preferred)
Post-M&A or cross-vendor data integration experience
How We Work
Governed sources only — there's a defined path from raw data to reporting, and we use it
Every model carries its own tests — controls ship with the code, not after it
Small, clean pull requests
Write things down — hard-won knowledge belongs in the repo, not in someone's head
Location
Hybrid (minimum 3 days a week in office) Denver, CO, Madison, WI, or San Francisco, CA preferred, to facilitate close collaboration with the team.
Compensation
The 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 & Inclusion
At 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 Statement
MGT 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 [email protected].
This 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.
Written by MGT Insurance. Original job post
Skills mentioned
- Airflow
- Data Pipelines
- Data Warehouse
- DBT
- Git
- Looker
- Machine Learning
- Python
- SQL
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MGT Insurance
- Industry
- Insurance
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