Data Engineer

BCforward
New York, United States of America
6 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 173K

Job location

New York, United States of America

Tech stack

Java
Agile Methodologies
Airflow
Amazon Web Services (AWS)
Code Review
Information Engineering
ETL
Data Transformation
Data Warehousing
Distributed Systems
Online Banking
Operational Databases
SQL Databases
Enterprise Data Management
Data Processing
Data Ingestion
Snowflake
Spark
Data Lake
PySpark
Low Latency
Enterprise Integration
Data Management
Data Pipelines
Control M

Job description

Client is seeking experienced Data Engineers to join a high-impact team building next-generation banking platforms.

The team is responsible for developing scalable data pipelines that support Open Banking capabilities, enabling secure integration between Chase accounts and external financial institutions. This is a hands-on engineering role focused on building enterprise-grade data platforms, modernizing data pipelines, and processing large-scale financial datasets.

Responsibilities

  • Design, develop, and maintain scalable ETL/data pipelines for enterprise data platforms.
  • Build and optimize data ingestion and transformation processes using Spark and PySpark.
  • Develop and manage data workflows using Airflow and Control-M.
  • Build and maintain Snowflake data warehouse solutions.
  • Develop high-performance data processing applications using Java Spark or PySpark.
  • Integrate data from multiple internal and external sources into enterprise data lakes.
  • Optimize data pipelines for scalability, reliability, and performance.
  • Work closely with software engineers, product owners, and business stakeholders in an Agile environment.
  • Troubleshoot production data pipeline issues and implement long-term solutions.
  • Participate in code reviews and follow engineering best practices.

Requirements

  • 5+ years of Data Engineering experience.
  • Strong ETL development experience.
  • Hands-on experience with Apache Spark / PySpark.
  • Snowflake Data Warehouse.
  • Apache Airflow.
  • AWS Cloud Services.
  • Data Lake experience.
  • Java Spark or PySpark.
  • SQL and data transformation.
  • Experience building enterprise-scale data pipelines.
  • Agile/Scrum development experience.

Preferred Skills

  • Control-M
  • High-volume, low-latency distributed systems
  • Banking or Financial Services experience
  • AWS Certification, * data engineer: 7 years (Required)
  • AWS: 5 years (Required)
  • Spark: 4 years (Required)
  • ETL: 4 years (Required)

Benefits & conditions

3.33.3 out of 5 stars Manhattan, NY 10017 $77 - $83 an hour - Temporary, Contract, Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance, * 401(k)
  • Dental insurance
  • Health insurance
  • Vision insurance

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