Data Platform Engineer

Mountain View, CA, Hybrid - 3 days a week (Flexible days/hours)

Job Summary

We are looking for a junior to mid level backend engineer who loves to build cloud services — a systems engineer who is comfortable in every stage of the design, implementation, testing, and deployment process. In particular, we are hiring an engineer who can develop and deploy cloud-based data analytics services to be used by data engineers, analysts and data scientists. These initial services are similar to AWS EMR-on-EKS, EMR Studio, etc.

Job Responsibilities

• Building, implementing and deploying cloud services, especially data analysis-related tools.
• Integrate with other cloud services running in Samsung private cloud.
• Participate in a globally distributed team of engineers that uses the cloud platforms to deliver services to include functional scoping and work distribution as subject matter expert

Skills & Competencies

• Strong CS Computer Science background.
• Organized and have the ability to set priorities and meet deadlines
• Able to play many roles and value the willingness to learn new skills and take on diverse responsibilities.
• Comfortable learning new techniques, languages, tools, etc.
• Ability to work with a small team of engineers to build, implement and commercialize a data analysis platform that manages tools including Spark, Flink, Airflow and Superset
• Experience with these tools and the unique trade-offs and pitfalls that arise when managing software across hundreds of servers distributed among multiple data centers.
• Ability to analyze and troubleshoot unexpected system pathologies
• Demonstrated bias for action and initiative
• Demonstrated capability to innovate with minimum supervision
• Understanding of process, including Waterfall and Agile methodologies
• Proficiency in one of the public cloud platforms such as AWS,GCP and Azure
• Good communication skills

Education & Experience

• Bachelor's degree in Computer Science or related field. A graduate degree is a plus.
• 2-5 years of experience developing cloud services, using data platform services is a big plus.
• Hands on experiences in AWS-SDKs, AWS-CLI, Golang, Java, Python, SQL, Terraform
• Hands on experiences and the internals of big data tools such Spark, Dela Lake, Jupyterhub and analytics tools
• Hands on experience in Docker, Kubernetes, Jenkins, Helm, Ansible and shell scripting
• Participation in the open-source community is a plus

Compensation for this position will vary among specific regions due to geographical differentials in the labor market, and actual pay will be determined considering factors such as relevant skills, experience, and comparison to other employees in the role. Therefore, the annual base compensation range for this role (depending on the geographical location) is expected to be between $126000 to $180000.

Regular full-time employees (salaried or hourly) have access to benefits including Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Vacation and Sick leave, electronic reimbursement and many more. In addition, regular full-time employees (salaried or hourly) are eligible for bonus compensation based on individual, department, and company performance.