Data Engineer
Avenue Code
midpermanentbackend United States Yesterday via LinkedIn
See how well this job matches your profile
Sign up to get an AI match score and generate a tailored application in seconds.
Get your match scoreTags
Data EngineeringETLSQLPythonPySparkDistributed Data ProcessingCloud Data PlatformsData ModelingData PipelinesEnergy & Utilities
About the role
Role Overview
You will join a strategic project in the energy and utilities industry as a Data Engineer, building scalable data solutions that support data-driven decisions.
Responsibilities
- Collaborate with Subject Matter Experts (SMEs) to design and develop data models/ontologies and data pipelines
- Design, build, and maintain robust data pipelines and ETL processes
- Develop and optimize cloud-based data storage and processing solutions
- Partner with data analysts and data scientists to deliver high-quality, scalable data solutions
- Ensure data integrity, security, and reliability across workflows
- Monitor, troubleshoot, and improve data pipelines to maintain continuous data availability
Required Qualifications
- Strong hands-on experience as a Data Engineer, especially building data pipelines
- Strong SQL skills with large-scale, complex datasets
- Proficiency in Python and PySpark for ETL and data processing
- Experience with cloud-based data platforms and distributed data processing
Nice to Have
- None explicitly listed (salary range notice provided).
About Avenue Code
Avenue Code delivers strategic technology services for enterprise projects, including high-impact solutions in regulated industries like energy and utilities. The role focuses on building scalable, cloud-based data solutions that enable data-driven decision-making.
Scraped 6/19/2026