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Data Engineer

Avenue Code

midpermanentbackend United States Yesterday via LinkedIn

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Tags

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

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