YOUR SKILLS & ABILITIES (REQUIRED QUALIFICATIONS)

• 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.
  

WHAT CAN GIVE YOU A COMPETITIVE ADVANTAGE (PREFERRED QUALIFICATIONS)

• Snowflake Expertise
• IoT Data Engineering
• OCPP Protocol expertise
  This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

Compensation:

• The expected base compensation for this role is: $134,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, 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 and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

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THE ROLE

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.

WHAT YOU’LL DO

• Creating and maintaining robust pipelines to collect, process, and store data from various enterprise source, 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.