Staff Data Engineer

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New York / $200000 - $250000 annum

INFO

Salary
SALARY:

$200000 - $250000

Location

LOCATION

New York

Job Type
JOB TYPE

Permanent

Staff Data Engineer

Research & Analytics Team

New York, NY (Hybrid)

$200,000-$250,000 + Bonus

The Company:

We're partnering with a leading real estate and logistics platform that leverages data and technology to drive investment, operations, and portfolio growth. The company manages a large U.S. industrial footprint and uses advanced analytics, automation, and cloud infrastructure to enhance performance, efficiency, and sustainability. As a portfolio company of one of the world's leading asset wealth management firms, this company has a strong foundation and is looking to continue disrupting the space with innovation.

The Role:

As the Staff Data Engineer, you'll play a key role in shaping the company's analytics and research data ecosystem. You'll design and modernize large-scale data pipelines, improve automation and reliability, and build a robust foundation for analytics and machine learning. Partnering closely with data scientists, researchers, and technology teams, you'll help define best practices, elevate data quality, and ensure that insights are delivered quickly and accurately across the business.

Requirements:

  • Expertise with Azure Databricks and Spark (PySpark)
  • Advanced SQL and Python skills for large-scale transformation and automation
  • Proficiency with dbt, Snowflake, and Power BI integrations
  • Strong understanding of MLOps, CI/CD, and workflow orchestration
  • Experience improving data infrastructure performance and reliability
  • Collaborative communicator who can translate technical work into business impact
  • Bonus: Experience building internal tools or dashboards using Streamlit

Tech Stack:

Azure Databricks, Spark (PySpark), SQL, Python, dbt, Snowflake, Streamlit, Power BI, Azure Data Services, CI/CD tools

The Benefits:

$200,000-$250,000 base salary + bonus, with a comprehensive benefits package.

How to Apply:

Submit your resume through the Apply link on this page.

Key Words:

Staff Data Engineer, Azure Databricks, PySpark, dbt, Snowflake, MLOps, CI/CD, Real Estate, Analytics, Data Infrastructure, Pipeline Automation, Machine Learning Engineering

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