Luxury Presence
Senior Analytics Engineer – US
CARemotePosted Today$150,000 – $190,000
Full TimeSeniorRemoteCA
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Job Description
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we’re a Series C company that has hit $100M in annual recurring revenue
Key Highlights
- Own and evolve our dbt project — ensuring models are performant, well-tested, and documented.
- Design and maintain the Snowflake data warehouse and ingestion processes.
- Use modern data modeling best practices to create core entities and datasets that account for complex business processes and logic.
- Build and maintain custom Python/Airflow pipelines to ingest data from third-party APIs into Snowflake.
- Design and operate cross-system reconciliation models that compare data across source systems to surface discrepancies and protect revenue.
Qualifications
Required Qualifications
- 5+ years of experience as an analytics engineer, data engineer, or a 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 — opportunities, contracts, subscriptions, cases, and field history.
- Proven experience building custom ELT pipelines that ingest data from third-party APIs into a cloud data warehouse.
- Experience designing cross-system reconciliation models — joining, deduplicating, and comparing data across multiple source systems to surface discrepancies.
- Proven experience working with event-based and product usage data (e.g., Posthog, Mixpanel).
- Experience connecting marketing data (paid ads, campaigns, attribution) to product analytics — ideally having built end-to-end pipelines from ad platforms through to conversion and retention metrics.
- Experience designing and maintaining semantic layers that serve as governed data interfaces (dbt Semantic Layer, Snowflake Cortex, or similar).
- Comfortable with large-scale data systems (Snowflake, BigQuery, 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.
- 5+ years of experience as an analytics engineer, data engineer, or a 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 — opportunities, contracts, subscriptions, cases, and field history.
- Proven experience building custom ELT pipelines that ingest data from third-party APIs into a cloud data warehouse.
- Experience designing cross-system reconciliation models — joining, deduplicating, and comparing data across multiple source systems to surface discrepancies.
- Proven experience working with event-based and product usage data (e.g., Posthog, Mixpanel).
- Experience connecting marketing data (paid ads, campaigns, attribution) to product analytics — ideally having built end-to-end pipelines from ad platforms through to conversion and retention metrics.
- Experience designing and maintaining semantic layers that serve as governed data interfaces (dbt Semantic Layer, Snowflake Cortex, or similar).
- Comfortable with large-scale data systems (Snowflake, BigQuery, 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.
Preferred Qualifications
- Experience building and maintaining Airflow DAGs and orchestrating multi-source API ingestion pipelines.
- Strong foundation in statistics and experiment design — A/B testing, significance testing, and measuring incremental impact.
- Experience with predictive modeling fundamentals — classification, feature selection, and model evaluation.
- Familiarity with financial SaaS metrics and billing operations (ARR/MRR/NRR, subscription reconciliation, revenue recognition).
- Experience with people analytics (headcount, attrition, compensation benchmarking).
- Experience building and maintaining Airflow DAGs and orchestrating multi-source API ingestion pipelines.
- Strong foundation in statistics and experiment design — A/B testing, significance testing, and measuring incremental impact.
- Experience with predictive modeling fundamentals — classification, feature selection, and model evaluation.
- Familiarity with financial SaaS metrics and billing operations (ARR/MRR/NRR, subscription reconciliation, revenue recognition).
- Experience with people analytics (headcount, attrition, compensation benchmarking).
Skills & Technologies
GoPythonCI/CDSQLGitAgile
About the Company
Luxury Presence
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Job Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
$150,000 – $190,000
Location
CA
Work Mode
Remote
Posted
Today
Country
CA