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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 company working with premium brands like Nike, Pepsi, and Toyota, is seeking an experienced AWS Data Engineer for a fully remote position. This role requires 5+ years of experience and focuses on building scalable data solutions for utilities-related datasets.

The position involves designing and developing sophisticated data pipelines using AWS services including Step Functions, Lambda, Glue, and Redshift. The ideal candidate will have deep expertise in distributed systems and data engineering, with strong capabilities in Python, PySpark, and Pandas for large-scale data processing.

Key responsibilities include developing scalable data pipelines, orchestrating workflows, implementing ETL/ELT processes, and ensuring data security and compliance. The role requires working with utilities-specific datasets like smart meters and energy grids, making it an excellent opportunity for those interested in the intersection of data engineering and utilities sector.

Working at Scalepex offers the opportunity to contribute to projects for market-leading brands while being part of a company that values technical excellence and innovation. The fully remote position provides flexibility while working on challenging technical problems in a collaborative environment.

This role is perfect for a senior data engineer who enjoys working independently, has strong problem-solving abilities, and can effectively communicate with cross-functional teams and stakeholders. The position offers the chance to work on cutting-edge data solutions while making a significant impact in the utilities sector.

Last updated 2 months ago

Responsibilities For AWS Data Engineer - Fully Remote - US Only

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

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
  • Strong problem solving and troubleshooting skills
  • Professional oral and written communication skills
  • Excellent teamwork and interpersonal skills

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