Senior Analytics Engineer (Data Engineering)

TL;DR

Senior Analytics Engineer (Data Engineering): Designing, building, and scaling high-quality analytics infrastructure to transform raw data into actionable insights with an accent on data modeling and BI scalability. Focus on architecting the Business Insights Foundation, developing self-service analytics solutions, and applying software engineering rigor to data pipelines.

Location: Remote (Must be based in the United States)

Salary: $75,000 - $80,000 a year

Company

A fast-growing digital technology service provider partnering with Fortune 1000 companies to drive innovative digital adoption.

What you will do

• Architect analytics transformation layers to serve as a single source of truth for reporting, BI, and data science.
• Own the complete analytics lifecycle from requirements gathering and data modeling to scalable dashboards.
• Partner with business stakeholders to translate functional needs into automated, scalable data solutions.
• Develop compelling dashboards and analytical narratives for both technical and non-technical audiences.
• Design standardized, reusable business metrics and data models to support automated reporting.
• Apply software engineering principles including version control, modular design, testing, and performance optimization.

Requirements

• 4+ years of industry experience in analytics engineering, data engineering, or advanced analytics.
• Expert level SQL skills with experience building production-grade data models in Snowflake or Databricks.
• Strong experience designing scalable analytics layers supporting BI and operational reporting.
• Hands-on experience developing dashboards using Tableau, Power BI, or Looker.
• Proven ability to translate ambiguous business requirements into impactful analytics solutions.
• Must be based in the United States.

Nice to have

• Experience with customer acquisition, sales funnel, or revenue analytics.
• Prior exposure to the real estate industry or fast-moving, market-driven domains.
• Familiarity with metrics governance, data quality frameworks, or analytics enablement.
• Experience collaborating with data science or experimentation teams.

Culture & Benefits

• Great Place to Work® certified company.
• Work with groundbreaking technologies and exclusive digital projects.
• Environment focused on nurturing full potential and professional growth.
• Commitment to equal employment opportunity for all employees.