INTERNSHIP DETAILS

Software Engineer Co-Op

CompanyLG Energy Solution Vertech Inc
LocationWestborough
Work ModeOn Site
PostedOctober 19, 2026
Internship Information
Core Responsibilities
The role involves designing and maintaining scalable ETL/ELT pipelines and developing backend services using Python. You will also manage CI/CD pipelines and deploy infrastructure in cloud or on-prem environments.
Internship Type
full time
Salary Range
$30 - $34
Company Size
314
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
LG Energy Solution Vertech, Inc. (LGES Vertech) delivers exceptional customer engagement throughout every stage of acquiring, installing, and operating advanced, reliable, and long-lasting energy storage systems. With the support and expertise of the greater LG Energy Solution group, LGES Vertech provides fully integrated energy storage systems with services including monitoring and diagnostic software that empowers customers to maximize value. Our AEROS® energy operating system is the engine of innovation and provides advanced control functions allowing our customers to maximize the value of their energy storage assets. As a fully integrated battery OEM and systems provider with specialized, proprietary knowledge, LGES Vertech optimizes AEROS® to predict future performance and give customers key insights into the potential of their systems. Field service capabilities include advanced monitoring, analytics, and diagnostics, scheduled maintenance, augmentation, and auxiliary system upgrades. The combination of excellence in battery technology and production coupled with nearly two decades of proven energy storage system integration makes LGES Vertech an unparalleled supplier and integrator in today’s power and energy markets. LG Energy Solution Vertech was established in February 2022 when LG Energy Solution acquired NEC Energy Solutions in Westborough, MA.
About the Role

Data & Software Engineer

Company Overview

LG Energy Solution Vertech, Inc., a subsidiary of LG Energy Solution, is a leading provider of grid-scale integrated energy storage systems, delivering safe, reliable, and high-performance solutions to customers worldwide. Powered by our proprietary AEROS® energy operating system, we use advanced monitoring and controls to help customers optimize system performance and maximize the value of their energy storage assets. 

For more information about LGESVT, please visit www.lgensol-vt.com. 

Position Overview
LGES-Vertech is seeking a versatile and motivated Data & Software Engineer with DevOps expertise to join our in-person team in Westborough,MA. This role is ideal for someone who thrives at the intersection of data engineering, software development, and DevOps practices. You will play a key role in building and maintaining scalable data pipelines, developing robust backend services, and deploying reliable systems in production environments.

You will work cross-functionally with data scientists, software engineers, and operations teams to support high-impact data products and analytics pipelines across our energy systems platform.

Key Responsibilities

Data Engineering

  • Design, build, and maintain scalable and efficient ETL/ELT pipelines
  • Integrate data from diverse sources, including APIs, databases, cloud services, and IoT systems
  • Leverage Snowflake and Snowpark for data transformations, performance optimization, and advanced analytics workflows
  • Apply best practices in data modeling and implement data ingestion routines in both real-time and batch scenarios.
  • Ensure robust data governance, quality, and lineage across the stack

Software Engineering

  • Develop and maintain backend services and RESTful APIs using Python 
  • Build and orchestrate microservices that support modular, scalable data-driven applications
  • Develop distributed task queues and background jobs 
  • Write clean, testable, and maintainable code with appropriate documentation and test coverage

DevOps & Infrastructure

  • Build and maintain CI/CD pipelines for data and software products
  • Deploy and monitor applications in cloud (e.g., AWS, GCP, or Azure) or on-prem environments
  • Automate infrastructure and service configurations using tools like Terraform or Ansible
  • Implement system observability with logging, metrics, and alerting for microservice-based platforms

Job Requirements

Required Qualifications:

  • 1-2 years of industry experience in a combination of data engineering, backend software development, and/or DevOps roles
  • Proficiency with Snowflake and Snowpark, including UDFs, stored procedures, and service integration
  • Strong Python skills; familiarity with task orchestration tools like Celery
  • Experience building and managing microservice architecture
  • Demonstrated experience working with AWS Services like S3, Lambda, Glue, Redshift, or equivalent cloud platforms
  • Hands-on experience with Kubernetes for container orchestration and deployment
  • Solid understanding of SQL and experience with relational databases (e.g., PostgreSQL, MySQL)
  • Experience with data pipeline frameworks (e.g., Airflow, dbt, Kafka)
  • Familiarity with Git, CI/CD systems, and infrastructure-as-code practices
  • Strong collaboration, communication, and problem-solving skills
  • Comfortable in Linux environments and with version control systems like Git.
  • Proficiency in using Jira for Agile project management.
  • Excellent written and verbal communication skills and ability to collaborate across diverse global teams.
  • Must be legally authorized to work in the U.S. without employer sponsorship.

Preferred:

  • Experience with real-time data streaming (e.g., Kafka, Spark Streaming)
  • Experience with MLops infrastructure (e.g. AWS Sagemaker)
  • Familiarity with message brokers and event-driven architecture
  • Background in energy systems, industrial IoT, or grid-scale data platforms
Key Skills
PythonSnowflakeSnowparkDevOpsData EngineeringAWSKubernetesSQLCI/CDMicroservicesTerraformAnsibleAirflowKafkaGitLinux
Categories
SoftwareData & AnalyticsEngineeringEnergyTechnology