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Data Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Cobalt Recruitment
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: New York

Cobalt is working with a well-respected commercial real estate business in New York City to recruit a Data Engineer
. This role is central to the firm’s data and analytics capability, supporting investment decision-making, portfolio performance, and the delivery of data-driven insights across the organisation.

The successful candidate will join a collaborative technology team and play a key role in building and maintaining scalable, reliable data infrastructure.

Key Responsibilities
  • Design, build, and maintain robust ETL/ELT data pipelines
  • Develop and manage cloud-based data platforms and warehouses
  • Collaborate with analytics, data science, and product teams to deliver high-quality data solutions
  • Implement and maintain data models to support reporting and advanced analytics
  • Ensure data quality, reliability, and performance across systems
  • Monitor, troubleshoot, and support production data environments
  • Document data architecture, pipelines, and engineering best practices
Technology Environment
  • Cloud platforms (primarily AWS; experience with GCP also considered)
  • SQL-based data warehouses (e.g. Redshift, Big Query)
  • Orchestration and transformation tools (Airflow, dbt, or similar)
  • Python and SQL
  • Version control and CI/CD workflows
Required Experience
  • 3+ years of experience in a Data Engineering or Analytics Engineering role
  • Strong SQL skills and experience building production-grade data pipelines
  • Hands-on experience with cloud data infrastructure
  • Solid understanding of data modelling and warehouse design
  • Strong communication skills and experience working with cross-functional teams
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