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.
❋ 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
Similar Jobs
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Design, scope, and implement scalable full‑stack ecommerce solutions. Improve platform performance and usability, collaborate with Product and Design, run experiments, ship features, and ensure seamless integration across the product ecosystem.
Top Skills:
AngularAWSBootstrapDockerFigmaGitJavaKotlinNode.jsReactTailwind
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Rubrik invites engineers to join their talent community to be part of a team dedicated to data security, innovation, and inclusion. Candidates should be motivated to tackle challenges and contribute to product development.
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Rubrik invites individuals to join their talent community to stay connected and explore employment opportunities, fostering inclusion and equal opportunity.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
