AWS Data Engineer - Fully Remote - US Only

Reposted 2 Days Ago
Hiring Remotely in Plano, TX, USA
In-Office or Remote
Senior level
Artificial Intelligence • HR Tech • Professional Services • Consulting
The Role
Design, build, and optimize scalable AWS data pipelines and serverless solutions for utilities datasets. Orchestrate workflows (Step Functions/Airflow), implement ETL/ELT with PySpark/Python, model data for analytics, ensure performance, reliability, security, and compliance while collaborating with cross-functional stakeholders.
Summary Generated by Built In

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About the Role

We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda, Glue, and Redshift. This role will focus on designing, developing, and optimizing data pipelines to support analytics and decision-making in the utilities industry.

Key Responsibilities

  • Design and Build Data Pipelines: Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids.
  • Workflow Orchestration: Use AWS Step Functions to orchestrate workflows across data pipelines; experience with Airflow is acceptable but Step Functions is preferred.
  • Data Integration and Transformation: Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets.
  • Distributed Systems Expertise: Leverage experience with complex distributed systems to ensure reliability, scalability, and performance in handling large-scale utility data.
  • Serverless Application Development: Use AWS Lambda functions to build serverless solutions for automating data processing tasks.
  • Data Modeling for Analytics: Design data models tailored for utilities use cases (e.g., energy consumption forecasting) to enable advanced analytics
  • Optimize Data Pipelines: Continuously monitor and improve the performance of data pipelines to reduce latency, enhance throughput, and ensure high availability.
  • Ensure Data Security and Compliance: Implement robust security measures to protect sensitive utility data and ensure compliance with industry regulations.

Requirements

Required Qualifications

  • Minimum of 5 years of experience in data engineering
  • Proficiency in AWS services such as Step Functions, Lambda, Glue, S3, DynamoDB, and Redshift.
  • Strong programming skills in Python with experience using PySpark and Pandas for large-scale data processing.
  • Hands-on experience with distributed systems and scalable architectures.
  • Knowledge of ETL/ELT processes for integrating diverse datasets into centralized systems.
  • Familiarity with utilities-specific datasets (e.g., smart meters, energy grids) is highly desirable.
  • Strong analytical skills with the ability to work on unstructured datasets.
  • Knowledge of data governance practices to ensure accuracy, consistency, and security of data.
  • Strong experience in AWS data engineering
  • Ability to work independently
  • Ability to work with a cross-functional teams, including interfacing and communicating with business stakeholders
  • Professional oral and written communication skills
  • Strong problem solving and troubleshooting skills with experience exercising mature judgement
  • Excellent teamwork and interpersonal skills
  • Ability to obtain and maintain the required clearance for this role

Skills Required

  • Minimum of 5 years of experience in data engineering
  • Proficiency with AWS Step Functions, Lambda, Glue, S3, DynamoDB, and Redshift
  • Strong programming skills in Python with experience using PySpark and Pandas
  • Hands-on experience with distributed systems and scalable architectures
  • Knowledge of ETL/ELT processes for integrating diverse datasets
  • Familiarity with utilities-specific datasets (e.g., smart meters, energy grids)
  • Strong analytical skills with ability to work on unstructured datasets
  • Knowledge of data governance practices to ensure accuracy, consistency, and security
  • Experience with Airflow (acceptable alternative to Step Functions)
  • Ability to obtain and maintain the required security clearance
  • Ability to work independently and with cross-functional teams; strong communication skills
  • Strong problem solving and troubleshooting skills; mature judgement; teamwork and interpersonal skills
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The Company

What We Do

Scalepex is a minority-owned transformational consulting and BPO firm that specializes in talent solutions to help businesses scale efficiently. Leveraging a unique AI platform, they provide staffing, placement, and nearshore services across industries like technology, finance, and healthcare. Their mission focuses on individualized support, cost management, and strategic execution, aiming to connect underserved communities with world-class opportunities while ensuring client success and professional satisfaction for their team members.

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