Top 1 Smart meter Jobs in Mckinney, Tx

AWS Data Engineer - Fully Remote - US Only
Scalepex —Plano, TX
- Full-time
- Remote
- 5 years
- Analysis skills
- Senior level
Quick Apply

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Oracle Utilities Meter Data Management (MDM) Functional Lead
Accenture —Columbus, OH
Partner with metering operations, field services, and IT integration teams to support meter-to-cash data flows including on-demand reads, remote disconnect/…
$59,100 - $196,000 a year
Senior Middleware Architect / Engineer
SoftElite Technologies —Columbus, OH
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent hands on experience. Strong API design (REST/SOAP) and event streaming/…
$65 - $90 an hour
Quick Apply
1d

I want to receive the latest job alert for smart meter in mckinney, tx

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

AWS Data Engineer - Fully Remote - US Only

Scalepex -
Plano, TX

Quick Apply

Job Details

Full-time

Qualifications

Commercial use (data warehousing systems)
Cloud analytics services
Data Integration (Data management)
System troubleshooting
Cloud data warehouses
Spark
Scalable systems
Data governance
Pandas
ETL process automation
Spark implementation
Data Security (Data management)
Scalability
Distributed computing
Data analytics tools
Cross-functional collaboration
Cross-functional communication

Full Job Description

❋ Why Scalepex?

Scalepex is a dynamic services firm specializing in providing solutions for premium brands like Nike, Pepsi, Toyota, Virgin and Walgreens. Our mission is to connect prominent market leaders with top-tier professionals from around the world, fostering collaboration, efficiency, and growth.

❋ Take your portfolio to the next level by working with one of our fastest growing clients.

Join the Innovation Frontier at Scalepex!

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

Quick Apply

Refine Your Search

smart meter jobs in mckinney, tx

AWS Data Engineer - Fully Remote - US Only

Explore jobs in cities nearby

I want to receive the latest job alert for smart meter in mckinney, tx

Job Seeker Tools

Employer Tools

Browse

Stay Connected