Sr Big Data Engineer (GCP)
Remote
Full Time
#Kafka
#Kinesis
#Flink
#Dataflow
#Pub Sub
We are Rackspace Technology, the multicloud solutions experts. We help our clients navigate complex challenges by designing, building, and managing end-to-end solutions across data, security, and applications. We are currently looking for a Senior Big Data Engineer to join our team in a fully remote capacity within the United States.
Responsibilities
- Develop reusable and reliable code for large-scale stream and batch processing systems.
- Work extensively with technologies including Pub/Sub, Kafka, Kinesis, Dataflow, Flink, Hadoop, Pig, Hive, and Spark.
- Implement DevOps best practices, including CI/CD pipelines, Infrastructure as Code, and containerization.
- Solve complex technical problems independently while collaborating effectively with remote team members.
- Maintain clear communication with stakeholders to ensure project goals and technical requirements are met.
Must-haves
- A technical degree in Computer Science, software engineering, or a related field.
- At least 4 years of experience building and operating solutions on GCP, AWS, or Azure.
- At least 4 years of experience in customer-facing technology, consulting, or IT transformation projects, including cloud migrations.
- A Google Associate Cloud Engineer or other professional-level Google Cloud certification.
- Strong programming proficiency in Java and Python.
- Experience with containerization tools like Docker and Kubernetes.
- Expertise in GCP managed services and cloud-based messaging systems.
- Proven ability to work effectively in a remote professional environment.
Benefits
- Remote work flexibility.
- Life insurance.
- Disability insurance.




