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

New York, NY (Hybrid)

$200,000-$250,000 + Bonus

Organization

We are supporting a top-tier real estate and logistics technology company that leverages data intelligence, automation, and cloud infrastructure to enhance investment decisions, streamline operations, and strengthen asset performance. With a major industrial footprint across the U.S., they are accelerating the adoption of advanced analytics and sustainable technologies to drive full lifecycle value.

Role

In this Staff Data Engineer position, you will be a key architect of the company's evolving analytics and research data environment. You'll build and enhance large-scale data pipelines, elevate automation and system robustness, and develop the core platforms that enable analytics and machine learning at scale. You'll partner with researchers, data scientists, and engineering leads to set data standards, improve quality, and ensure rapid delivery of trusted insights across the organization.

Requirements

  • Deep expertise with Azure Databricks and Spark (PySpark)
  • Advanced SQL and Python for large-scale ETL, automation, and performance tuning
  • Practical experience using dbt and Snowflake in production systems
  • Solid understanding of CI/CD workflows, MLOps, and orchestration frameworks
  • Proven ability to scale and improve reliability of modern data infrastructure
  • Strong communication and stakeholder engagement skills
  • Bonus: Experience building internal data tools or dashboards (e.g., Streamlit)

Tech Stack

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

Benefits

  • $200,000-$250,000 base compensation + annual bonus
  • Robust medical, financial, and wellness offerings

How to Apply

Upload your resume using the Apply link provided.

Key Words

Staff Data Engineer, Azure Databricks, PySpark, Data Pipelines, CI/CD, MLOps, Automation, Snowflake, dbt, Analytics Engineering, Real Estate Tech, Infrastructure Modernization

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