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Data Engineer

Synchrony

$85,000 - $140,000
Oct 2, 2025
Stamford, CT, US
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Synchrony's Enterprise Data Lake requires functional & system development to integrate data across internal and external sources, provide analytical insights, and integrate with critical systems. The role aims to ensure high-quality data ingestion, standardization, and curation while maintaining compliance with data standards and driving quality throughout the software development lifecycle.

Requirements

  • Hands-on experience writing shell scripts, complex SQL queries, Hive scripts, Hadoop commands and Git
  • Ability to write abstracted, reusable code components
  • Programming experience in at least one of the following languages: Scala, Java or Python
  • Familiar with Ab Initio, Cloudera, Kafka, Spark, Shell Script, Linux & Kafka
  • Familiar with Public Cloud (i.e. AWS, GCP, Azure) data engineering services
  • Familiar with data management tools (i.e. Collibra)
  • Background in ETL, data warehousing or data lake

Responsibilities

  • Develop big data applications for Synchrony in Hadoop ecosystem
  • Participate in the agile development process including backlog grooming, coding, code reviews, testing and deployment
  • Work independently to develop analytic applications leveraging technologies such as: Hadoop, NoSQL, In-memory Data Grids, Kafka, Spark, Ab Initio
  • Provide data analysis for Synchrony’s data ingestion, standardization and curation efforts ensuring all data is understood from a business context
  • Identify enablers and level of effort required to properly ingest and transform data for the data lake.
  • Profile data to assist with defining the data elements, propose business term mappings, and define data quality rules
  • Assist with the creation and implementation of data quality rules

Other

  • Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics); in lieu of degree, High School Diploma/GED and minimum 2 years of Information Technology experience
  • Analytical mindset
  • Willingness and aptitude to learn new technologies quickly
  • Superior oral and written communication skills
  • Ability to collaborate across teams of internal and external technical staff, business analysts, software support and operations staff.