Data Engineer

Responsibilities

Design, build, and maintain dbt models and data pipelines to integrate various source systems into a centralized Snowflake warehouse. Collaborate with cross-functional teams to ensure data quality, observability, and performance while supporting internal web applications.

Requirements

Requires 3+ years of professional experience in building production data pipelines with at least 2 years on a cloud data warehouse like Snowflake. Candidates must possess strong SQL skills, proficiency in Python, and hands-on experience with dbt and Git-based workflows.

Skills

• SQL
• Snowflake
• dbt
• Python
• Data Modeling
• Git
• CI/CD
• Data Pipelines
• Power BI
• Azure DevOps
• Data Governance
• API Integration
• AI-assisted development
• Data Quality Analysis
• Cloud Data Warehousing

Benefits

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

About this role

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
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.
We COLLABORATE continuously because, together, we are more powerful and make amazing things happen for our clients and company.
We LEAD with intelligence, hunger, curiosity, energy and a future-focused attitude of “what’s next”?
We are RESULT-ORIENTED, growth-focused and driven to out-perform expectations of what an insurance brokerage can achieve.
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...

About Trucordia

Insurance · 1,001-5,000 employees · headquartered in Lindon, Utah · founded 1987