Sr. Data Engineer

ABOUT LVT

LVT is on a mission to make the world safer and more secure through rapidly deployable security hardware that runs on our proprietary SaaS platform. Our enterprise-grade safety and security ecosystem makes it easy to secure essentially any physical environment through intelligent automation and actionable insights. As an industry leader in the IoT space, our systems are deployed in every state and adopted by Fortune 500 enterprise companies who share this vision.

ABOUT THIS ROLE 

As a Data Engineer, you will be responsible for designing, building, and maintaining robust data architecture and pipelines that power analytics, reporting, and data science across the organization. You will create scalable data models using dbt and SQL, develop automated ELT/ETL workflows with tools like Python and Airflow, and optimize performance within Snowflake cloud environments. In this role, you’ll champion data quality and governance, ensure reliable data delivery from diverse sources, and collaborate cross-functionally to deliver clean, well-documented datasets for BI and self-service analytics platforms such as Looker or Tableau.

Data Architecture & Modeling

• Design and maintain scalable, well-documented data models using dbt and SQL to support reporting, analytics, and data science use cases.
• Apply best practices in data warehouse architecture, including dimensional modeling, data partitioning, indexing, and lifecycle management.
• Continuously improve schema design to optimize for performance and usability.

Pipeline Development & Automation

• Develop and maintain automated ELT/ETL data pipelines using Python, SQL, Airflow, and APIs.
• Ensure reliable ingestion and transformation of data from various sources (e.g., APIs, operational databases, third-party platforms).
• Monitor and resolve pipeline issues to minimize data delivery latency.

Cloud Data Platform Engineering

• Build and optimize Snowflake data warehouse environments to support large-scale data workloads.
• Implement cost-efficient solutions through performance tuning, data pruning, and resource management.

Data Quality, Governance & Documentation

• Implement rigorous data validation checks, lineage tracking, and monitoring to ensure the accuracy and consistency of data.
• Collaborate with IT governance to enforce data security, retention policies, and compliance standards.
• Maintain detailed technical documentation and contribute to internal knowledge sharing.

Cross-Functional Collaboration

• Work closely with BI developers, business analysts, product teams, and executive stakeholders to translate business needs into engineering solutions.
• Serve as a technical advisor on data access, definitions, and best practices to stakeholders across departments.

BI & Analytics Enablement

• Deliver clean, structured datasets and semantic data layers for tools like Looker, Tableau, Sigma, or similar platforms.
• Enable self-service analytics by exposing performant, reusable datasets with clear documentation and usage guidelines.

QUALIFICATIONS

• 5+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering roles.
• Strong experience with SQL, data modeling techniques (star, snowflake), and data transformation frameworks (e.g., dbt).
• Proficiency in Python for data manipulation, scripting, and pipeline development.
• Deep hands-on experience with Snowflake or similar modern cloud-based data platforms (e.g., BigQuery, Redshift).
• Solid understanding of workflow orchestration tools such as Airflow, Dagster, or Prefect.
• Strong problem-solving and debugging skills with attention to code quality and data accuracy.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Experience integrating third-party APIs and SaaS applications into data platforms.
• Familiarity with CI/CD processes, data observability, and data cataloging tools.
• Understanding of data governance, compliance (GDPR, HIPAA), and metadata management frameworks.
• Excellent communication skills with the ability to translate technical language for business stakeholders.
• Independent, self-motivated, and proactive problem solver.
• Detail-oriented and committed to data integrity and engineering excellence.
• Comfortable working in agile or scrum-based environments.

WHY JOIN US

• Founder-led and employee-driven company 
• The opportunity to build where you stand
• Value centric decision making
• Both an economically stable and hyper-growth environment (ask us how this is possible)
• The market leader in redefining how B2B does security

On top of the obvious benefit of getting paid to work with great people who are laser-focused on a mission that matters, we also offer the following benefits:

• Comprehensive health, vision, and dental benefits for you and your family. Including supplemental and life insurance, company-paid HSA contributions, and an Employee Assistance Program (EAP). 
• 401(k) With up to 4% match
• Time Off & Paid Holidays - Ask us how we empower employees to take control of their well-being
• Stock Options - Every full-time employee has the opportunity to be an owner of the company and benefit from our success. 
• Paid Parental Leave - To help your growing family while you're away from work. 
• Company Events - Christmas Party, Summer Party, and other parties to celebrate whenever we can find an excuse. 
• Charitable Opportunities - LVT sends groups of employees to help the Daybreak Vision Project restore sight to thousands of people a year. 
• Wellness - We regularly host dentists, chiropractors, financial experts, and other professionals to provide services and seminars to help promote physical, mental, emotional, and financial wellness. 
• And More - Scholarship opportunities for employees and their dependents, discounted cell services, and opportunities to score tickets to Utah Jazz games and other Delta Center events.

HR Policy 
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All Candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S.