Data Engineer

EXL

Junior Data Engineer building large-scale data pipelines with Python, PySpark, and AWS services. Supporting data processing and storage for data management operations.

Posted 9/3/2026full-timeAtlanta • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in building and maintaining large-scale data pipelines using Python and PySpark, with a strong understanding of AWS services for data processing and storage. Demonstrates problem-solving and performance optimization skills essential for effective data engineering.

Highest-signal resume keywords

Python ProgrammingPySpark Data EngineeringAWS S3AWS GlueAWS Redshift

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Platform MaintenancePerformance OptimizationData ProcessingData Storage

Soft Skills

Problem-Solving

Tools & Technologies

AWS AthenaAWS Lambda

Industry Keywords

Data EngineeringBachelor’s Degree

Tech Stack

Tools & technologies

Amazon RedshiftAWSPySparkPython

About the role

Key responsibilities & impact

Build and maintain large-scale data pipelines and platforms
Use Python and PySpark for data engineering tasks
Work with AWS services for data processing and storage, including S3, Glue, Athena, Lambda, and Redshift
Apply problem-solving and performance optimization techniques

Requirements

What you’ll need

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
Familiarity with AWS services for data processing and storage, including S3, Glue, Athena, Lambda, and Redshift
Strong problem-solving and performance optimization skills
Bachelor’s degree in Engineering, Finance, IT, or related field

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 🏥 Healthcare 🛡️ Insurance 📦 Logistics 💰 $2M Venture Round on 2015-01 Healthcare
Insurance
Logistics EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data. Data Engineer 🔥 53 minutes ago 🏢🏡 Atlanta – Hybrid ⏰ Full Time 🟢 Junior 🟡 Mid-level 🚰 Data Engineer 👻 Ghost score 11% Amazon Redshift AWS PySpark Python Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Build and maintain large-scale data pipelines and platforms
Use Python and PySpark for data engineering tasks
Work with AWS services for data processing and storage, including S3, Glue, Athena, Lambda, and Redshift
Apply problem-solving and performance optimization techniques 🎯 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
Familiarity with AWS services for data processing and storage, including S3, Glue, Athena, Lambda, and Redshift
Strong problem-solving and performance optimization skills
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