Data Engineer

Job Description

Description

SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance. The data engineer position supports a big data ecosystem and is located in McLean, VA. Be part of a team while completing individual assignments to deliver the best possible solution to our customer!

The data engineer supports the design, development, deployment, and maintenance of a sophisticated big data ecosystem critical to answering key intelligence questions. The successful candidate will support a wide variety of data processing, data-flow, data management, data modeling, and data optimization efforts critical to our customer's mission. You identify needs associated with database design, optimization, and implementation to store big data datasets; orchestrate complex data flow patterns and data enrichment analytics from a diverse and constantly growing range of data sets; and build and test solutions to address mission requirements for real-time data ingest and analysis.

Responsibilities include:

• Manage and test new models for data processing and data flow patterns. Work with key stakeholders to identify and remediate issues related to broken data flows.
• Leverage mathematics, computer science, and data science expertise to support analytic design, development, and implementations to support critical mission requirements.
• Evaluate, demonstrate, and deploy hot/cold storage design patterns for cost optimization.
• Maintain awareness of emerging technologies and advancements in database design and management, data science, and machine learning.

Qualifications

• Active TS/SCI clearance with polygraph
• Bachelors degree
• 5 years of experience in data science technologies and tools
• Experience with distributed compute technologies such as Spark, Hadoop, or similar.
• Experience with data flow management and orchestration tools such as NiFi, Airflow, or similar.
• Experience with coding languages such as Python, Java, Spark, or similar.
• Experience with implementing database technologies such as SQL, Mongo, or similar.
• Evaluate, prototype, and deploy big data database technologies such as Accumulo, HBASE, Cassandra, Elastic, or similar.
• Utilize containerization technologies such as Docker, Podman, Kubernetes, or similar.
• Experience with distributed file systems such as Hadoop File System, Gluster, Ceph, or similar.
• Experience with bucket storage technologies such as S3 or similar.

Overview

SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.

We are approximately 26,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity, and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.