Software Engineer Co-Op

LG Energy Solution Vertech Inc•Westborough, MA

1d•$30 - $34•Onsite

About The Position

LG Energy Solution Vertech, Inc. is seeking a versatile and motivated Data & Software Engineer with DevOps expertise to join its in-person team in Westborough, Massachusetts. The role combines data engineering, software development, and DevOps, building and maintaining scalable data pipelines, backend services, and reliable production systems. The engineer will work cross-functionally with data scientists, software engineers, and operations teams to support data products and analytics pipelines across the company’s energy systems platform.

Requirements

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 such as Celery.
Experience building and managing microservice architecture.
Demonstrated experience with AWS services such as S3, Lambda, Glue, and Redshift, or equivalent cloud platforms.
Hands-on Kubernetes experience for container orchestration and deployment.
Solid understanding of SQL and experience with relational databases such as PostgreSQL or MySQL.
Experience with data pipeline frameworks such as Airflow, dbt, or Kafka.
Familiarity with Git, CI/CD systems, and infrastructure-as-code practices.
Strong collaboration, communication, and problem-solving skills.
Comfort working in Linux environments and with version control systems such as Git.
Proficiency 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.

Nice To Haves

Experience with real-time data streaming, such as Kafka or Spark Streaming.
Experience with MLOps infrastructure, such as AWS SageMaker.
Familiarity with message brokers and event-driven architecture.
Background in energy systems, industrial IoT, or grid-scale data platforms.

Responsibilities

Design, build, and maintain scalable, efficient ETL/ELT pipelines.
Integrate data from APIs, databases, cloud services, and IoT systems.
Use Snowflake and Snowpark for data transformations, performance optimization, and advanced analytics workflows.
Apply data-modeling best practices and implement real-time and batch data ingestion routines.
Ensure data governance, quality, and lineage across the stack.
Develop and maintain Python backend services and RESTful APIs.
Build and orchestrate microservices for modular, scalable, data-driven applications.
Develop distributed task queues and background jobs.
Write clean, testable, maintainable, and documented code with appropriate test coverage.
Build and maintain CI/CD pipelines for data and software products.
Deploy and monitor applications in cloud or on-premises environments.
Automate infrastructure and service configurations using tools such as Terraform or Ansible.
Implement logging, metrics, and alerting for observability of microservice-based platforms.