Software Development Engineer - GM Energy

About the position

The GM Energy Data Engineering team is on the lookout for a talented Senior Software Engineer with a strong track record in building large-scale data streaming platforms. The ideal candidate will play a key role in developing and maintaining systems that support high-throughput data streams, data curation, storage and file system architectures, data security and governance, as well as real-time inferencing and AI-driven algorithms.

Responsibilities

• Creating and maintaining robust pipelines to collect, process, and store data from various enterprise sources, IoT devices, and sensors.
• Design and develop a scalable data platform to support growing data volume and complexity.
• Implementing logic to clean, filter, and transform raw device data into formats suitable for downstream analytics or storage.
• Maintain and enhance infrastructure for efficient data ingestion, transformation, and delivery.
• Implement rigorous data validation, governance, and quality assurance to ensure data integrity.
• Monitoring data flows, handling errors, and implementing retry mechanisms to ensure reliable and accurate data ingestion.
• Setting up monitoring tools and dashboards to track pipeline health, diagnose issues, and optimize performance.
• Mentor and support junior engineers through guidance, coaching, and learning opportunities.
• Stay current with industry trends and best practices in data management, ODS technologies, and API development.

Requirements

• Bachelor's in Software Engineering, Computer Science, Information Technology, or a related field or equivalent experience.
• 8+ years software engineering experience, with a focus on data engineering and proficiency in Java frameworks (Spring Boot, Quarkus).
• Minimum of 5 years of experience with streaming technologies such as Kafka, Spark, etc.
• Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred, AWS, GCP).
• Experience with Databricks and/or Snowflake and/or other cloud-based data platforms required.
• Experience in Python and PySpark preferred.
• Strong interpersonal and communication skills and demonstrated working experiences with cross-function product teams.
• Experience with data visualization tools to effectively communicate insights is preferred.
• Solid problem-solving skills and the ability to translate business questions into data-driven solutions.
• Excellent communication skills to present findings and collaborate across teams.
• Good understanding and experience with CI/CD practices.
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
• Strong problem-solving and analytical skills.
• Excellent teamwork skills, with a proven ability to collaborate effectively.

Nice-to-haves

• Snowflake Expertise
• IoT Data Engineering
• OCPP Protocol expertise

Benefits

• Medical, dental, vision insurance
• Health Savings Account
• Flexible Spending Accounts
• Retirement savings plan
• Sickness and accident benefits
• Life insurance
• Paid vacation & holidays
• Tuition assistance programs
• Employee assistance program
• GM vehicle discounts