We're seeking a Data Platform Engineer II to join our team and contribute to building the foundational infrastructure that powers our data ecosystem. This is an excellent opportunity to learn and grow in a fast-paced environment where you'll work alongside experienced engineers to support our data platforms. You'll focus on implementing well-defined solutions while developing your skills in platform engineering and cloud infrastructure. We are in the process of a legacy migration to a new cloud-first approach.
• Contribute to specific areas of the data platform codebase under guidance
• Implement Infrastructure as Code components following established patterns
• Support CI/CD pipelines for data infrastructure with oversight from senior engineers
• Assist with monitoring setup and respond to alerts under supervision
• Write scripts and automation for routine platform tasks
• Participate in infrastructure deployment under guidance
• Help maintain documentation for platform components
• Contribute to KTLO (keep the lights on) tasks and maintenance work
• Learn data platform architecture and cloud infrastructure patterns
• Develop proficiency with our technology stack and engineering processes
• Participate in code reviews to learn best practices
• Shadow incident response to understand platform operations
• Working knowledge of Python for scripting and basic automation
• Basic SQL skills and understanding of database concepts
• Familiarity with Linux/Unix command line
• Exposure to at least one cloud platform (AWS, Azure, or GCP)
• Understanding of version control systems like Git
• 1-3 years of professional experience in software engineering, data engineering, or related field
• Some exposure to infrastructure automation or platform engineering concepts
• Academic knowledge or limited practical experience with data systems
• Willingness to learn and adapt in a fast-paced environment
• Strong communication skills and eagerness to learn from others
• Ability to work collaboratively within your immediate team
• Comfortable asking questions and seeking guidance when needed
• Interest in understanding how your work fits into larger systems
• Exposure to Docker or container technologies
• Familiarity with Infrastructure as Code concepts (Terraform, CloudFormation)
• Basic understanding of Kafka or other streaming technologies
• Interest in data orchestration tools like Airflow
First 90 Days: Complete onboarding, understand our data platform architecture, and begin contributing to well-defined tasks with guidance from your mentor or manager.
First Year: Demonstrate consistent contributions to the platform, follow team processes reliably, and show growing independence in handling standard tasks. Begin participating meaningfully in sprint planning.
Ongoing: Continue developing expertise across multiple areas of the codebase, reduce supervision needs, and prepare for increased ownership of platform components.
Cloud & Infrastructure: AWS (EC2, EKS, RDS)
Data Technologies: Apache Kafka, Apache Airflow, SQLMESH, Snowflake
Languages & Frameworks: Python, SQL, Java, Docker
Monitoring & Observability: Prometheus, Grafana, DataDog
Legacy Technologies: Apache Spark, Oracle, Postgres, SqlServer
Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.
We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency.
To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.