Data Engineer – QA & Release Management

Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.

We are seeking a detail-oriented and versatile Data Engineer – QA & Release Management to play a critical role in ensuring the quality, reliability, and security of our data engineering solutions. This role sits at the intersection of data engineering, quality assurance, and DevOps, with responsibilities ranging from code review and validation to automating deployments and managing releases. The ideal candidate will have a strong foundation in Python and SQL, experience working with modern data platforms like SingleStore and Snowflake, and familiarity with infrastructure and orchestration tools such as Airflow, Kubernetes, Azure, and Terraform. This position also involves working across Linux and Windows Server environments, supporting security compliance through application upgrades, and enabling CI/CD processes using GitHub and GitHub Actions.

Key Responsibilities:

• Code Quality & Review
  • Conduct in-depth reviews of Python and SQL code to ensure accuracy, performance, maintainability, and alignment with business requirements and coding standards.
  • Collaborate with developers and data teams to enforce best practices in data engineering and QA.
• Release Management
  • Design, implement, and maintain automated release pipelines using GitHub Actions and Terraform.
  • Manage and execute manual deployments to Windows Server and Linux -based virtual machines.
  • Coordinate release schedules, monitor deployment progress, and resolve issues to ensure smooth rollouts.
• Quality Assurance & Testing
  • Develop and maintain validation scripts and test cases to ensure data integrity and application reliability.
  • Support pre-release testing, environment setup, and regression testing for new features and updates.
• Infrastructure & Platform Management
  • Work with Kubernetes, Azure, and Terraform to support scalable and secure data infrastructure.
  • Upgrade applications and underlying services to comply with security and operational standards.
• Workflow Orchestration & Monitoring
  • Build and manage data pipelines and workflows using Apache Airflow.
  • Monitor pipeline performance and troubleshoot failures or data anomalies.
• Cross-Functional Collaboration
  • Partner with development, data, security, and DevOps teams to align on release processes and compliance requirements.
• Participate in agile ceremonies, including sprint planning and retrospectives.

Key Skills & Experience:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Strong understanding of QA methodologies and release processes
• Prior experience in a DataOps or DevOps-focused data engineering role
• Experience automating testing and deployment processes in mixed environments
• Familiarity with version control systems and CI/CD, particularly GitHub and GitHub Actions.
• Proficient in ETL tools and processes using Python and SQL
• Experience with SingleStore, Snowflake, MS SQL Serer and MySQL databases

• Strong understanding of Kubernetes for containerization and Airflow for orchestration

• Proficiency in both Linux and Windows Server environments

• Experience with application security compliance and patching/upgrades
• Knowledge of Azure services and Terraform infrastructure-as-code
• 3-7 Years of experience in a previous role.

Personal Attributes:

• Detail-oriented with a strong focus on quality and reliability
• Active listening skills, including investigating requirements and proactively identifying potential issues.
• Critical thinker who naturally sees opportunities to develop and optimize work processes - finding ways to simplify, standardize and automate.
• Self-directed and takes ownership of their work.
• Collaborative partner who builds and leverages cross-functional relationships to bring together ideas, data, and insights to drive continuous improvement in execution.
• Analytical problem solvers. People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues.
• Strong communication and problem-solving skills
• Able to work independently and manage multiple priorities
• Comfortable operating in a fast-paced, Multi-team environment

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