Description

SAIC has an opening for a Big Data Engineer. This is a remote position.

The Big Data Engineer is responsible for designing and developing parallel data-intensive systems using Big Data technologies.

Responsibilities include:

• Working with the full open source Hadoop stack and Hadoop-like systems from cluster management, to data repositories, to analytics software, to schedulers.
• Working in on-premises or public cloud environments to build scalable systems.
• Determining the appropriate database given the data and analytics needs, whether file structures such as HDFS, relational databases including NewSQL, non-relational NoSQL databases including in-memory databases.
• Optimizing the distribution of data across nodes and the performance of distributed database, storage and processing systems.
• Identifying performance bottlenecks and evaluates scaling benchmarks.
• Contributing to the planning, design and implementation of new system implementations and the migration of existing systems to modern and scalable systems.

Qualifications

Typical Education and Experience:

• Bachelors and 9+ years of experience; Masters and 7+ years of experience; PhD or JD and 4+ years of experience. Additional experience may be considered in lieu of a degree.
• Experience and knowledge of implementation and configuration of distributed systems in the larger Hadoop ecosystem (both open-source and proprietary stacks that leverage these tools).
• Knowledge of data modelling and implementing data pipelines and workflows to create scalable and resilient enterprise data solutions.
• US Citizenship required.

Target salary range: $100,001 - $125,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

My SAIC Benefits.