Data Engineer

Posted 4 Days Ago
Jersey City, NJ, USA
Hybrid
Junior
Information Technology • Database • Consulting
The Role
Build and maintain large-scale data pipelines and platforms using Python, PySpark, and AWS data services. Optimize data processing performance, troubleshoot technical issues, and support scalable data engineering solutions. Requires a bachelor’s degree in engineering, data science, IT, or a related field, along with 0–2 years of experience or recent graduation.
Summary Generated by Built In

Key Requirements

0-2 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.

• Proficiency in programming languages such as Python and PySpark.

• Familiar with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).

• Strong problem-solving and performance optimization skills.


Responsibilities

Key Requirements

0-2 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.

• Proficiency in programming languages such as Python and PySpark.

• Familiar with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).

• Strong problem-solving and performance optimization skills.


Qualifications

Key Requirements

  • Bachelor’s degree in Engineering, Data Science IT, or related field.
  • 0–2 years of experience or recent graduate.

Skills Required

  • Bachelor's degree in Engineering, Data Science, IT, or a related field
  • 0–2 years of experience in data engineering or recent graduation
  • Experience building and maintaining large-scale data pipelines and platforms
  • Proficiency in Python and PySpark
  • Familiarity with AWS services including S3, Glue, Athena, Lambda, and Redshift
  • Strong problem-solving and performance optimization skills
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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