AWS Data Engineer - Fully Remote - US Only

A dynamic services firm providing solutions for premium brands like Nike, Pepsi, Toyota, Virgin and Walgreens, connecting market leaders with top-tier professionals.
Plano, TX, USA
Data
Senior Software Engineer
Remote
5+ years of experience
Enterprise SaaS

Description For AWS Data Engineer - Fully Remote - US Only

Scalepex, a dynamic services firm partnering with premium brands like Nike, Pepsi, Toyota, Virgin, and Walgreens, is seeking an experienced AWS Data Engineer. This fully remote position requires a professional with at least 5 years of experience in data engineering and deep expertise in AWS services.

The role focuses on building scalable data solutions for utilities-related datasets, requiring expertise in AWS services including Step Functions, Lambda, Glue, and Redshift. You'll be responsible for designing and implementing robust data pipelines, orchestrating workflows, and ensuring data security and compliance.

As an AWS Data Engineer at Scalepex, you'll work with cutting-edge technologies and handle large-scale utility data, including smart meters and energy grids. Your strong background in distributed systems and proficiency in Python, PySpark, and Pandas will be essential for success in this position.

The ideal candidate will bring not only technical expertise but also strong communication skills and the ability to work independently while collaborating with cross-functional teams. You'll have the opportunity to contribute to innovative solutions for industry-leading brands while working with a dynamic team dedicated to connecting market leaders with top-tier talent.

This position offers the flexibility of remote work while allowing you to tackle challenging problems in data engineering and analytics. You'll play a crucial role in transforming complex utility data into actionable insights, supporting critical decision-making processes for our clients.

Join Scalepex to advance your career in data engineering while working with premium brands and contributing to innovative solutions in the utilities sector. Your expertise will be vital in building and maintaining scalable data infrastructure that drives business value and supports analytical capabilities for our prestigious clients.

Last updated 11 minutes ago

Responsibilities For AWS Data Engineer - Fully Remote - US Only

  • Design and build scalable data pipelines using AWS services
  • Orchestrate workflows across data pipelines using AWS Step Functions
  • Implement ETL/ELT processes using PySpark, Python, and Pandas
  • Build serverless solutions using AWS Lambda for data processing
  • Design data models for utilities use cases
  • Optimize data pipelines for performance and availability
  • Implement security measures and ensure compliance with industry regulations

Requirements For AWS Data Engineer - Fully Remote - US Only

Python
  • Minimum of 5 years of experience in data engineering
  • Proficiency in AWS services (Step Functions, Lambda, Glue, S3, DynamoDB, Redshift)
  • Strong programming skills in Python with PySpark and Pandas
  • Experience with distributed systems and scalable architectures
  • Knowledge of ETL/ELT processes
  • Familiarity with utilities-specific datasets
  • Strong analytical skills
  • Knowledge of data governance practices
  • Ability to work independently
  • Professional oral and written communication skills
  • Strong problem solving and troubleshooting skills

Interested in this job?

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