Data Engineer

Trucordia Insurance Services, LLC; Lindon (UT); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401K

Flexible PTO

Life Insurance

Job summary

Trucordia Insurance Services, LLC is hiring a Data Engineer to design, build, and operate our data platform. You will own dbt models and Snowflake pipelines end to end, onboard new sources, and ensure reliable nightly runs while collaborating with Analytics, Sales, Operations, and Finance.

You will work with our Data & Analytics team within the Data & Technology organization to improve governance, observability, and semantic layers for internal apps and BI tools.

Qualifications

• 3+ years of professional experience building production data pipelines.
• Strong SQL skills including window functions and data quality checks.
• Hands-on dbt experience in a production project.
• Proficiency in Python for data work.
• Experience with Git-based workflows and CI/CD pipelines.
• Able to document solutions and collaborate with stakeholders.

Responsibilities

• Design, build, and maintain dbt models across staging, intermediate, and mart layers.
• Onboard new data sources into Snowflake and write loading/quality checks.
• Keep the nightly dbt run healthy and diagnose failures.
• Improve observability with tests, freshness checks, and drift alerts.
• Tune Snowflake cost and performance via sizing and clustering.
• Contribute to governance: role grants and security policies.
• Build backend data layer for internal apps and support deployments.
• Translate business questions into reproducible models and document results.

Skills

SQL

Python

dbt

Git & CI/CD

Data modeling

Education

Bachelor's degree in CS or related field

Tools

Snowflake

dbt

Power BI

Azure DevOps

Git

Job description

Company Description

Extraordinary opportunity. Exceptional experience.

Sometimes in life, you find yourself in the right place, at the right time, looking at an opportunity so extraordinary it cannot be ignored. At Trucordia, our company is built on wildly successful businesses in our communities across the country, and now we’ve come together to create the next great insurance brokerage. We offer an unrivaled combination of people, tools and solutions, and deliver exceptional experiences and opportunities for our employees, clients and stakeholders.

We celebrate both individual successes and collective accomplishments, making sure the industry recognizes the remarkable company we’re building together, as well as the impact we’re having on our clients and communities. Ranked as one of the fastest-growing companies in the U.S. for three consecutive years, we have more than 5,000 team members across 200 offices across the country, who actively, genuinely care about our clients, each other and the quality of our work, and in every interaction, represent a company that people want to work for and do business with.

Trucordia Values

1. We actively, genuinely CARE about our clients, each other and the quality of our work, and in every interaction, represent a company that people want to work for and do business with.
2. We COLLABORATE continuously because, together, we are more powerful and make amazing things happen for our clients and company.
3. We LEAD with intelligence, hunger, curiosity, energy and a future-focused attitude of “what’s next”?
4. We are RESULT-ORIENTED, growth-focused and driven to out-perform expectations of what an insurance brokerage can achieve.
5. We CELEBRATE both individual successes and collective accomplishments, making sure the industry recognizes the remarkable company we’re building together, as well as the impact we’re having on our clients and communities.

Job Description

Trucordia is a rapidly growing insurance brokerage that acquires agencies nationwide and brings their business onto shared systems and shared reporting. Every acquired agency arrives with its own systems, its own data, and its own way of counting things. The Data & Analytics team turns that into one answer: a Snowflake warehouse fed from AMS360, Salesforce, HR, and finance systems, etc. modeled in dbt into conformed dimensions and facts (policies, premium, retention, producers, agencies, carriers), and served through Power BI, curated semantic views for AI, and internal web apps we design and build ourselves. Our governance framework (Entra-synced roles, row-level security, network and authentication policies) is code we wrote and maintain.

We are hiring a Data Engineer to help us build and run that platform. This role sits within the Data and Technology organization on the Data & Analytics team, a small, senior group that owns the full path from source system to decision. You will own dbt models and pipelines end to end, onboard new sources, keep the nightly run healthy, and make the platform faster, more trustworthy, and less dependent on any one engineer’s memory. You will work closely with our Integrations team, which migrates acquired agencies into AMS360, and with analysts and stakeholders in Sales, Operations, and Finance.

Duties and Responsibilities:

• Design, build, and maintain dbt models across our staging, intermediate, and mart layers, owning model performance, incremental strategies, tests, and documentation for the areas you take on.
• Onboard new sources into Snowflake, from agency management systems to SaaS tools and flat-file feeds, including profiling the data, agreeing on grain and keys with analysts, and writing the loads and quality checks.
• Keep the nightly dbt run healthy: diagnose failures, fix root causes, and reduce the blast radius when an upstream source breaks.
• Improve observability with freshness checks, row-count and reconciliation tests, and alerting when a source or model drifts from expectations.
• Tune Snowflake cost and performance, including warehouse sizing, clustering, query patterns, and task scheduling.
• Contribute to our governance framework: role grants, Entra group sync, row-level security policies, and the access-config tables that gate our internal apps.
• Build the backend data layer for the internal web apps we ship to the business and support deploys through our CI pipelines.
• Partner with analysts and stakeholders to translate a business question into a model that answers it consistently, and document the result in model docs, runbooks, and decision notes in our Azure DevOps wiki.

Qualifications

• 3+ years of professional experience building production data pipelines, with at least 2 years on a cloud data warehouse (Snowflake strongly preferred).
• Strong SQL skills, including reading query plans, window functions, incremental logic, and slowly changing dimensions; comfortable profiling unfamiliar schemas and performing data quality analysis.
• Hands‑on dbt experience in a production project: models, tests, macros, sources, exposures, and a CI workflow.
• Proficiency in Python for data work: loading files, calling APIs, writing small services or scheduled jobs, and testing them.
• Experience with Git-based workflows, pull‑request review, and CI/CD pipelines.
• Sound data modeling judgment: you can explain why a fact table has the grain it does and push back when a request would break it.
• Strong written communicator who documents solutions and collaborates effectively with technical and non‑technical stakeholders.

AI Assisted Development Requirements:

• Proven, ongoing use of AI‑assisted development tools (e.g., ChatGPT, Copilot, Claude, Cursor, or similar) as part of daily development workflows.
• Demonstrated ability to use AI to accelerate coding, debugging, refactoring, and learning new technologies or codebases.
• Ability to critically review AI‑generated code for correctness, security, performance, and long‑term maintainability.
• Hands‑on, habitual experience using AI in professional work, side projects, or personal experimentation; this role assumes AI is a core productivity multiplier.

Nice to have:

• Insurance brokerage or agency data experience: policies, premium, commissions, carriers, producers, retention. Familiarity with AMS360, Epic, or similar agency management systems is a real plus.
• Salesforce data model and replication into a warehouse.
• Snowflake governance features: row access policies, masking, network policies, or SCIM.
• Azure ecosystem: Azure DevOps pipelines, Azure Functions, Entra ID.
• Power BI semantic models, or experience feeding LLM and semantic‑layer tools from a warehouse.
• FastAPI or another Python web framework.

Additional Information

Please see our company Benefits:

• Medical, Dental, Vision
• Life Insurance and AD&D
• FSA / HSA
• Accident
• Critical Illness
• Hospital Indemnity
• Supplemental Health Insurance
• Employee Assistance Program (EAP)
• Pet Insurance
• 11 Paid Holidays
• Flexible PTO
• 401K

Trucordia is an equal opportunity employer. We believe that every employee has the right to work in an environment that is free from all forms of discrimination. It is our policy that all decisions involving any aspect of the employment relationship such as hiring, compensation and training, promotions, transfers, discipline, and termination will be based on merit, qualifications, and abilities. Such decisions will be made without regard to age, ancestry, color, race, national origin, disability, protected medical condition, genetic information, military service, veteran status, citizenship status, religion, creed, sex, gender, gender identity, sexual orientation, pregnancy, childbirth, marital status, or any other condition, characteristic or activity protected by law. Discrimination based on any of these factors is contrary to our operating philosophy. Attention Recruitment Agencies: Trucordia does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered property of Trucordia, and we will not be obligated to pay a referral fee. This includes resumes submitted directly to hiring managers without contacting Trucordia's Talent Acquisition Department.