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Data Engineer

New York, NY 10001

Posted: 08/29/2025 Employment Type: Direct Hire Position Category: Information Technology Job Number: 18223 Work Location: Hybrid

Job Description


Our financial services client in Manhattan is seeking a Data Engineer to join their team. This is a full-time, salaried position. Three days in the office (Manhattan, New York) and two days work from home.

 

Position Overview

As a Data Engineer, you will develop a deep understanding of our client's data landscape and collaborate closely with cross-functional teams to gather requirements and deliver data-driven solutions. You will be responsible for providing data services through reports, systems, and interface applications to support various business functions.

 

The ideal candidate has a strong background in data engineering, is proficient in mainstream database systems, and possesses solid development skills, including the ability to perform in-depth debugging and troubleshooting. A passion for solving complex data challenges and enabling data-driven decision-making is essential.

 

Key Responsibilities:
  • Data Analysis and Reporting: Work with business analysts and stakeholders to understand their data needs and deliver data solutions. Requires a strong understanding of data processing and hands-on experience with tools such as SQL, Pandas, and Jupyter.
  • Data Service Platform Development: Identify recurring analytical and reporting needs and implement reusable solutions within the internal data service platform. Proficiency in Python, Django, and JavaScript is required, along with strong debugging skills.
  • Data Processing Pipelines: Design, build, and maintain reliable and scalable daily data pipelines. Experience with Apache Airflow or other ETL orchestration tools is essential.
  • External Data Interfaces: Develop and maintain data services for external systems based on internal datasets. Requires knowledge of RESTful APIs and message queue technologies such as IBM MQ or Apache Kafka.
  • Data Platform Infrastructure: Work with cloud-based infrastructure components including EC2, Docker, RDS, Redshift, and S3 to support the data platform.

 

Qualifications:
  • Must:Bachelor’s degree in Data Engineering, Computer Science, Information Technology, or a related field
  • Minimum of 3 years’ experience in a data engineering role
  • Proficiency in Python and Pandas
  • Strong SQL skills
  • Preferred:Experience with JavaScript and web debugging tools
  • Familiarity with Apache Airflow
  • Experience with Django
  • Experience with AWS and related cloud technologies

Meet Your Recruiter

Jim Lennox

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