Über
Identify, design, and implement process improvements, inclusive of automation, data delivery optimization, and scalable infrastructure redesign.
Lead the development of data-driven solutions using various languages, tools, and technologies.
Contribute to architectural discussions and strategic technology adoption.
Build and optimize highly scalable data pipelines with complex transformations and efficient coding practices.
Design and develop integrations from diverse source systems, including files, database extracts, and APIs.
Design and implement solutions for data delivery adhering to SLA requirements.
Collaborate with operations teams to address and resolve production issues related to the data platform.
Utilize best practices, including Agile methodologies and continuous deployment, in your work.
Develop tools and automation to streamline deployments and enhance production monitoring processes.
Partner with business and technology colleagues, providing guidance, best practices, and coaching.
Mentor peers and junior engineers while informing colleagues about emerging industry trends and technologies.
Your Skills & Abilities (Required Qualifications) Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience.
7+ years of data engineering experience, with strong proficiency in Python or Scala, SQL, and both relational and non-relational data storage (ETL frameworks, big data processing, NoSQL).
3+ years of experience in distributed data processing (e.g., Spark) and container orchestration (e.g., Kubernetes).
Proficiency in data streaming within Kubernetes and with Kafka.
Experience with cloud platforms, preferably Azure; AWS or GCP also considered.
A solid understanding of CI/CD principles and tools.
Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (e.g., ADLS/S3), and Event Queues.
Strong grasp of performance optimization techniques including partitioning, clustering, and caching.
Proficiency with SQL, key-value stores, and document stores.
Familiarity with data architecture and modeling concepts to facilitate efficient data consumption.
Excellent collaboration and communication skills, with the ability to work effectively across diverse teams and disciplines.
What Can Give You a Competitive Advantage (Preferred Qualifications) Master's degree in Computer Science, Software Engineering, or a related discipline.
Knowledge of data governance, metadata management, or data quality/observability.
Familiarity with schema design and data contracts.
Experience managing various file formats (e.g., video, audio, image).
Experience with platforms like Databricks, Snowflake, or similar.
This position may be eligible for relocation benefits. Compensation: The anticipated base salary for this role is between $153,000 and $227,000, with final compensation based on relevant factors.
Bonus Potential: Our incentive pay program offers rewards based on company performance, job level, and individual contributions.
Benefits: GM provides a range of health and well-being benefit programs, including medical, dental, vision coverage, Health Savings Account, retirement saving plans, life insurance, paid time off, tuition assistance, and employee discounts on GM vehicles.
Note: GM does not offer immigration-related sponsorship for this role. Applicants requiring sponsorship now or in the future should not apply. About GM We are on a mission to create a world with Zero Crashes, Zero Emissions, and Zero Congestion, and we are committed to making a positive difference for all. Why Join Us At GM, we believe in the power of choice—individually and collectively—to create meaningful change through our actions and company culture. We strive for every employee to feel a sense of belonging within the General Motors team. Benefits Overview From day one, GM prioritizes your well-being, supporting you both professionally and personally to help you achieve your goals. Non-Discrimination and Equal Employment Opportunities General Motors is dedicated to fostering a discriminatory-free workplace that promotes inclusion and belonging. We are committed to ensuring that all employment decisions are made without regard to unlawful factors. We encourage candidates to review the essential responsibilities and qualifications for each role and apply for any positions that align with their expertise and capabilities. Candidates may need to complete role-related assessments or screenings as part of the recruitment process. Accommodations General Motors is an inclusive employer, offering accommodations to job seekers with disabilities. To request assistance with your application, please email us with details regarding the required accommodation, along with the job title and requisition number. Our goal is to lead change through technology, innovative thinking, and the diverse talents of our team. We invite you to join us and be part of the positive transformation we aim to achieve for a better world.
Sprachkenntnisse
- English
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