Senior BI Engineer
HighLevel
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
ETLJavaPythonSQLTableau
About the role
- 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.
- 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.
- 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.
- 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.
Requirements
- 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.
Benefits
- 100% remote work
- Work from anywhere in the world
- Flexible work schedule
- Career development opportunities
- Creative and collaborative team environment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLSnowflakePythonETLData WarehousingData LakesData ModelingData VisualizationTableauCI/CD
Soft skills
communicationcollaborationmentoringproblem-solvingleadershiporganizationalanalytical thinkingtechnical excellenceproactivestakeholder engagement