Data Engineer II-IO

Position Overview

Why GMF Technology? Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams build real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to reimagine customer interactions and modernize operations—positioning GM Financial as a leader in digital innovation.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact. Enjoy a flexible hybrid work environment (onsite 2 days/week and remote 3 days/week) in Las Colinas/Irving, TX or Detroit, MI. Please note: We are unable to provide any type of visa sponsorship for this position now or in the future.

We are seeking a skilled and innovative Data Engineer II to advance our data engineering capabilities by leveraging cutting-edge technologies in batch and streaming data environments.

Key Responsibilities

• Research, evaluate, and experiment with emerging data engineering technologies in a lab environment to stay ahead of industry trends.
• Collaborate with data engineering teams to demonstrate new technology capabilities and facilitate their adoption.
• Help define and refine processes and best practices for the data engineering discipline.
• Partner with business stakeholders, data architects, ETL developers, reporting teams, data scientists, and IT counterparts to identify and integrate data from various sources including external systems, internal databases, and data warehouses.
• Develop, test, deploy, monitor, and troubleshoot data pipelines and automation processes.
• Maintain comprehensive documentation and ensure reconciliation of data processes.

Required Qualifications

• Bachelor's degree in a related field or equivalent work experience.
• 2-4 years of hands-on experience in data engineering.
• 2-4 years of experience processing large datasets using tools such as Databricks, Python, Spark, Kafka, and APIs.
• Proficiency in ingesting diverse data formats (XML, JSON, Parquet, SequenceFile) and integrating with various data sources (Oracle, cloud databases, Event Hub, Service Bus).
• Experience with cloud platforms (Azure, AWS) and infrastructure automation tools (ARM Templates, Terraform, CloudFormation).
• Strong understanding of cloud computing models (IaaS, PaaS, SaaS) and hybrid cloud environments.
• Familiarity with object storage technologies (Data Lake Storage Gen2, Blob, S3, ADLS).
• Experience with Agile/Scrum methodologies and application lifecycle management.
• Proficient in source control (Git), CI/CD pipelines (Azure DevOps), and artifact repositories (Artifactory).
• Experience in creating and maintaining ETL processes.
• Knowledge of IT governance, privacy compliance, and GDPR.

Preferred Qualifications

• Preferred experience with Adobe Experience Platform, REST APIs, IBM Infosphere (Datastage), and Unix scripting.

Benefits & Perks

• 401K matching: Included as part of our generous benefits package.
• Bonding leave for new parents (12 weeks, 100% paid).
• Tuition assistance and training opportunities.
• GM employee auto discount and community service pay.
• Nine company holidays.
• Compensation: Competitive pay and bonus eligibility.
• Work Life Balance: Flexible hybrid work environment with a minimum of 2-days a week in the Arlington, TX office.