Overview
Hybrid
Depends on Experience
Full Time
No Travel Required
Skills
Java
Scala
Python
Spark
Hive
Single Store
Airflow
and AWS
Big Data
Job Details
Title Senior Software Engineer (Big Data / Back End)
Position Full-time with direct client
Location San Francisco, CA; Los Angeles, CA; Seattle, WA; New York, NY
Job Responsibilities:
- Contribute to a team of big data and backend engineers to deliver high value projects
- Build components of large-scale data platform for batch and real-time processing, and own features of big data applications to fit evolving business needs
- Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability
- Balance architectural and design considerations such as performance, scalability, reusability and flexibility issues
- Advocate the best engineering practices, including the use of design patterns, CI/CD, code review and automated test
- Collaborate with researchers to productize cutting edge innovations at scale
- Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment
Basic Qualifications
- Bachelors degree in Computer Science, Electronics Engineering, or related field
- 5+ years of professional programming in Java, Scala, Python, etc.
- 3+ years of big data development experience with technical stacks such as Spark, Hive, Single Store, Airflow, and AWS
- Strong knowledge of system / application design and architecture
- Experience building industry level high available and scalable service
- Experience with processing large amount of data at petabyte level
- Passionate about technologies, and openness to interdisciplinary work
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.