Harnham
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
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