Data Engineer

Posted yesterday

exl serviceJersey City (NJ)

Data Warehousing SpecialistsComputer Systems Design Services

SENIORITY

Senior

About the role

Overview In this role you will help design and maintain large-scale data pipelines and platforms. You will work within a data engineering team to enable reliable data processing and analytics across cloud services. You will tackle performance optimization challenges and implement robust data solutions using modern Python-based tooling. This position suits recent graduates or early-career engineers seeking hands-on impact in a cloud-first data environment. Responsibilities Build and maintain large-scale data pipelines and platforms Contribute to data architecture and data quality initiatives Collaborate with cross-functional teams to enable data-driven insights Optimize data processing for performance and reliability Key requirements 0-2 years of data engineering experience Proficiency in Python and PySpark Familiarity with AWS data services (S3, Glue, Athena, Lambda, Redshift)Strong problem-solving and performance optimization skills Bachelor’s degree in Engineering, Data Science IT, or related fieldproblem-solvingteam collaborationcommunication Python PySparkAWS S3

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.