Senior Data Engineer — AI-Driven Data Platform & Pipelines

Visual Lease

Arlington (VA)

Hybrid

USD 128,000 - 190,000

Full time

5 days ago
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Benefits offered by this job

Healthcare coverage
401(k) with matching
Paid time off
Tuition reimbursement
Commuter benefits
Stock purchase plan
On-site fitness center

Job summary

Homes.com, part of CoStar Group, seeks a Senior Data Engineer to design data architecture, build scalable pipelines, and enable data-driven insights across departments. You will shape site-wide tracking and analytics, feed KPI dashboards, and accelerate growth through robust data infrastructure and governance.

The role emphasizes collaboration with DBA, DevOps, SecOps, and product teams, with a focus on Databricks, Snowflake, and AWS, and leveraging AI tooling to improve data quality and

Qualifications

  • Bachelor's degree required.
  • 6+ years in software/data engineering.
  • Strong proficiency in Python, PySpark, and SQL.
  • Solid OO programming and design fundamentals.
  • Experience building data-driven products at terabyte scale.
  • Experience with cloud data platforms and BI tools.

Responsibilities

  • Design dimensional models and cloud data platform structures (Databricks, Snowflake, BigQuery).
  • Build secure data warehouses and data lakes using Medallion Architecture.
  • Develop scalable ETL pipelines with Databricks, Snowflake, and AWS services.
  • Develop and optimize Spark jobs and data transformations.
  • Integrate AI/ML models into data pipelines for insights.

Skills

Python
PySpark
SQL
OO Programming
Data modeling
AI/ML understanding

Education

Bachelor's degree

Tools

Databricks
Snowflake
BigQuery
AWS
Power BI

Job description

Homes.com, part of CoStar Group, seeks a Senior Data Engineer to design data architecture, build scalable pipelines, and enable data-driven insights across departments. You will shape site-wide tracking and analytics, feed KPI dashboards, and accelerate growth through robust data infrastructure and governance.

The role emphasizes collaboration with DBA, DevOps, SecOps, and product teams, with a focus on Databricks, Snowflake, and AWS, and leveraging AI tooling to improve data quality and

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