Software Engineer Co-Op

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

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