Senior Analytics Data Engineer

CoStar Group

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Arlington, VA
Salary: $128,000–$190,000 / yr
Employment: Full-time
Posted: 55 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k

This role $159k

$107k $208k

below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $126,800–$198,037 — the blue band above. At the midpoint, this role pays about $159k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About CoStar Group

CoStar Group is the leading provider of commercial real estate information, analytics, and online marketplaces, including CoStar, Apartments.com, and LoopNet platforms. Industry: Commercial Real Estate Data & Analytics

CoStar Group currently has 59 open roles on FindRole.

Listed pay typically runs $133,000–$190,000 across 59 roles with salary data.

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View all roles at CoStar Group

At a glance

TL;DR · Senior Analytics Data Engineer

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The Senior Analytics Data Engineer - Homes.com joins the Homes.com team to design and scale end-to-end data infrastructure. This role involves transforming raw data into high-quality datasets that power internal insights and customer-facing product experiences. Key responsibilities include owning automated data infrastructure, designing warehouse architecture, and building reliable pipelines. The engineer will develop automated scripts, implement data quality monitoring, and maintain scalable BI solutions. Required technical skills include SQL, Python, PySpark, and experience with data warehousing and cloud platforms like AWS, Azure, Databricks, Snowflake, and Microsoft SQL Server. Candidates should also possess experience with Power BI, Tableau, or Looker. The role addresses the technical challenge of productionizing machine learning models and utilizing LLMs to synthesize user behavior within a real estate marketplace.

Skills

SQL Python PySpark AWS Azure Databricks Snowflake Microsoft SQL Server Power BI Tableau Looker LLMs Data Warehousing Data Pipelines Machine Learning Google Analytics

What you'll do

Design and deploy automated data infrastructure including table schemas and production data pipelines.
Build automated SQL and Python scripts to transform raw source data into usable datasets.
Develop and implement data quality monitoring procedures, validation rules, and data audits.
Design warehouse architecture and schemas to support analytical and front-end business use cases.
Develop and maintain scalable Power BI solutions to enable self-service analytics for various teams.
Apply data science techniques to curate datasets and develop models for the front-end experience.
Partner with Machine Learning teams to productionize models and scale LLM applications.

What we're looking for

Bachelor’s Degree from an accredited, not for profit, in-person university or college.
5+ years of experience with SQL, Python, PySpark, data warehousing, and business intelligence tools.
2+ years of experience with data engineering tools, pipeline creation and management.
Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Databricks, Snowflake, and Microsoft SQL Server.
Experience with data visualization tools such as Tableau, Looker, or PowerBI.
Hands-on experience leveraging AI tooling in development such as Claude Code, GitHub Copilot, Cursor, Gemini, or Grok.
Experience with Google Analytics (preferred).
Experience working with large consumer datasets to drive insights and create models (preferred).

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