Position: Sr. BI Engineer
Location: US (Remote)
Level: P2
Schedule: 9 AM - 5 PM CST
About Us
HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.
Our People
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our Impact
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
Who You Are
As a Sr.BI Engineer, you are a detail-oriented problem solver with a passion for turning complex data into actionable insights. You have a deep understanding of data structures, business requirements, and reporting needs, enabling you to design and implement scalable data solutions. Your technical expertise spans data warehousing, pipeline development, and visualization tools, allowing you to empower stakeholders with reliable and efficient data-driven decisions. You thrive in a collaborative environment, take ownership of data governance, and are proactive in identifying opportunities for process automation and optimization.
What You’ll Be Doing:
Data Strategy, Architecture, and Ownership
- Own the end-to-end data lifecycle, from ingestion and transformation to delivery, ensuring alignment with business priorities and analytical goals.
- Architect and oversee scalable, high-performance data pipelines and warehouse structures that serve as the foundation for company-wide analytics and automation.
- Partner with Engineering and Product teams to establish data design standards, naming conventions, and quality benchmarks, ensuring long-term sustainability and performance.
- Drive decisions on data architecture, tooling, and storage optimization, balancing scalability, cost, and performance tradeoffs.
Data Modelling, Quality, and Governance
- Lead data modeling efforts that transform complex, cross-domain data into clear and accessible models supporting business-critical dashboards, experimentation, and AI workloads.
- Implement robust data validation frameworks and monitoring systems to proactively detect and resolve data quality issues.
- Champion data governance — define standards for access control, lineage, cataloging, and compliance.
- Collaborate with security and platform teams to institutionalize best practices for data stewardship and democratized analytics.
Advanced Analytics and Stakeholder Partnership
- Partner with senior business stakeholders to identify high-impact analytical opportunities and translate business questions into scalable data solutions.
- Use strong command of SQL, Snowflake, and Python to design complex analytical models and build self-serve dashboards in Tableau or Looker.
- Develop and deliver insight frameworks that enable data-informed decision-making across Marketing, Product, and Operations teams.
- Mentor analysts and engineers, fostering an environment of learning and technical excellence.
Innovation, Automation, and Continuous Improvement
- Continuously evaluate and implement emerging data tools and frameworks to enhance speed, accuracy, and reliability of analytics delivery.
- Lead initiatives to automate reporting workflows and implement CI/CD for data pipelines, ensuring reproducibility and scalability.
- Partner cross-functionally to identify and eliminate data bottlenecks, optimizing for both velocity and reliability in decision support.
- Drive a culture of proactive problem-solving through documentation, standardization, and data enablement across teams.
By joining our team, you will play a pivotal role in transforming raw data into meaningful insights, driving business success across the organization.
What You’ll Bring:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Experience/Education/Certifications Required:
- 5+ years of experience in business intelligence, data engineering, analytics, or a related field.
- Advanced SQL expertise with experience handling complex queries and data transformations.
- Strong knowledge of engineering and operations best practices, including version control, data quality assurance, testing, and monitoring.
- Data modeling expertise with experience in ETL, Data Warehousing, and Data Lakes.
- Data visualization skills using Tableau to create compelling dashboards and reports.
- Programming proficiency in one or more languages (e.g., Python, Java) for data processing and analysis.
- Basic knowledge of statistical measures and techniques.
- Exceptional communication and collaboration skills, with the ability to communicate complex technical information to less technically sophisticated stakeholders and data professionals.
