[Hiring] Staff Analytics Engineer REMOTE USA
Position: Staff Analytics Engineer
Date Posted: 11 February 2026
Industry: Technology / Software Development / Data Analytics
Employment Type: Full Time
Experience: 9+ years
Qualification: Estimated Qualification like Bachelor Degree holder, Diploma/Degree/Certificate in Computer Science, Data Engineering, or related field
Salary: $182,000 – $255,000 per year
Location: United States REMOTE
Company: HighLevel
Description:
Now Hiring | Staff Analytics Engineer
HighLevel is a cutting-edge AI-powered, all-in-one white-label sales and marketing platform that helps agencies, entrepreneurs, and businesses enhance their digital presence and drive growth. With a global community of over 2 million businesses and processing billions of messages daily, HighLevel is looking for a Staff Analytics Engineer to lead the enterprise data layer initiatives.
Key Responsibilities:
• Own the enterprise data model: Define and maintain canonical entities such as Account, Customer, Location, Usage, Invoice, and their relationships across systems.
• Architect and maintain the dbt semantic layer: Build modular, tested, and versioned dbt models with strict standards for naming, documentation, and lineage.
• Govern KPI and metric definitions: Partner with Finance and BI to define and enforce key company metrics (ARR, NRR, CAC payback) with versioned change control.
• Enforce data contracts and schema governance: Validate schemas, event structures, and data types for all inbound systems while implementing CI/CD tests.
• Drive observability and data quality standards: Integrate dbt tests and freshness SLOs with the data catalog, automate monitoring, and alert for data breaks.
• Ensure compliance: Collaborate with Legal, IT, and Internal Audit to maintain IPE lineage, evidence retention, and SOX readiness.
• Mentor and multiply: Set technical direction, define reusable macros, patterns, and documentation conventions to raise data quality standards.
• Partner cross-functionally: Work closely with data engineering, BI, and Finance teams to ensure consistency, accuracy, and adoption of data governance standards.
Requirements:
• 9+ years of experience in data engineering, analytics engineering, or related fields with expertise in dbt, Snowflake, or modern data stacks.
• Proven ownership of enterprise-scale data models or semantic layers used across multiple business functions.
• Advanced SQL and dbt skills; experience with CI/CD, testing frameworks, and Git workflows.
• Knowledge of data contracts, quality tests, governance standards, and familiarity with SOX controls, audit evidence, or IPE lineage.
• Strong communication skills and ability to translate between engineering, finance, and compliance stakeholders.
• Comfortable working in high-precision, audit-critical environments.
Success in this role includes:
• A unified, versioned enterprise data model across Finance, Product, and GTM functions.
• Zero metric drift between dbt models and executive dashboards.
• Full auditable lineage and IPE coverage for external reporting datasets.
• Smooth adoption of modeling and governance standards by other data teams.
Disclaimer: The job details above are structured for clarity and based on publicly available content from recruiters/Company pages. All rights remain with the original source; names may be withheld for confidentiality. We are not involved in the hiring process.
