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Senior Analytics Engineer - US (Remote)

3 weeks ago
United States
Full-time
Senior
Analytics Engineer
Data Science and Analytics
Apache Airflow CI/CD dbt GCP Git LLM Mixpanel Python Salesforce Snowflake SQL Statistics
Apply Now
Luxury Presence

Luxury Presence

Luxury Presence is a premier provider of real estate websites and digital marketing services tailored for high-grossing agents, teams, and brokers. They combine tech talent with real estate expertise to set a new standard for elite luxury real estate w...

Real Estate
251-1K
Founded 2015
$5M raised
View All Jobs 14

Description

  • Own and evolve the dbt project, ensuring models are performant, tested, and documented.
  • Design and maintain the Snowflake data warehouse and ingestion processes.
  • Build and maintain Python and Airflow pipelines to ingest third-party API data into Snowflake.
  • Create core data models and datasets using modern data modeling best practices.
  • Design and operate cross-system reconciliation models to compare source systems and surface discrepancies.
  • Implement testing, observability, and CI/CD best practices for analytics pipelines.
  • Standardize metric definitions and ensure consistent calculation across tools.
  • Investigate, document, and remediate data incidents while communicating with stakeholders.
  • Act as a data liaison across Engineering, GTM, and Finance to align instrumentation and metrics.
  • Design and maintain semantic layers and Snowflake Cortex semantic views for AI-powered tools and assistants.

Requirements

  • 5+ years of experience as an analytics engineer, data engineer, or similar role in a SaaS environment.
  • Deep expertise in SQL, dbt, and modern data modeling best practices.
  • Proficiency in Python for pipeline development, API integrations, and automation.
  • Experience modeling Salesforce data, including opportunities, contracts, subscriptions, cases, and field history.
  • Experience building custom ELT pipelines that ingest data from third-party APIs into a cloud data warehouse.
  • Experience designing cross-system reconciliation models that join, deduplicate, and compare data across source systems.
  • Experience working with event-based and product usage data such as Posthog or Mixpanel.
  • Experience connecting marketing data to product analytics, including ad platforms, conversion, and retention metrics.
  • Experience designing and maintaining semantic layers such as dbt Semantic Layer or Snowflake Cortex.
  • Comfort with large-scale data systems such as Snowflake, BigQuery, or Redshift.
  • Strong familiarity with CI/CD, Git-based workflows, and automated testing.
  • Experience collaborating cross-functionally with engineers, analysts, and product managers.
  • Demonstrated success using analytics to drive decisions in a technical or product-focused environment.
  • Comfort taking ownership of ambiguous problems and designing end-to-end solutions.
  • Experience building and maintaining Airflow DAGs and multi-source ingestion pipelines (nice to have).
  • Strong foundation in statistics and experiment design, including A/B testing and significance testing (nice to have).
  • Experience with predictive modeling fundamentals such as classification, feature selection, and model evaluation (nice to have).
  • Familiarity with financial SaaS metrics and billing operations such as ARR, MRR, NRR, subscription reconciliation, and revenue recognition (nice to have).
  • Experience with people analytics such as headcount, attrition, and compensation benchmarking (nice to have).

Benefits

  • Backed by Bessemer Venture Partners and other top investors.
  • Series C company with $100M in annual recurring revenue.
  • Used by more than 90,000 real estate professionals, including 30% of the WSJ RealTrends top 100 agents.
  • Recognized as a Best Place to Work and award-winning platform.
  • Equal Opportunity Employer status with fair consideration for all qualified applicants.

Interested in this position?

Apply directly on the company website

Apply Now

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