Senior Data Engineer

SAIC is seeking an experienced and dynamic Senior Data Engineer will oversee data integration efforts including developing and maintaining data models, supporting cleaning and transformation of data prior to data persistence, and writing scripts for data analysis. This role will work as a member of the Data Modeling team and work collaboratively with members of the Data Operations and Data Metrics and Assessment teams to interpret operational requirements, perform data modeling and integrate data from a variety of sources and implement secure data pipelines for near-real-time ingest from a myriad of tactical and intelligence community data sources. A major responsibility is implementing and enforcing data modeling best practices and version controlling of software and configuration among development, integration, and production environments.

Qualifications

U.S. Citizenship and an active TS clearance.

TYPICAL EDUCATION AND EXPERIENCE:

• Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD or JD and fifteen years or more experience.
• Experience with tools for data routing and transformation such as NiFi, Airflow, or dbt.
• Strong in Java, Python, or SQL ETL/ELT data pipelines development supporting data-driven applications.
• Proficient in scripting such as Linux shell, Python, Perl, Javascript, or similar scripting languages.
• Proficient with data modeling conventions for both physical (ex: schemas) and logical data models (ex: UML). Experience with developing and maintaining data serialization tools such as Protobuf, Avro, JSON, and XML.
• Familiar with data security fundamentals such as encryption, pedigree, and provenance to ensure compliance of policy, processes, and procedures.
• Experience with source code management tools including git via GitHub, GitLab, or BitBucket.
• Experience with drafting and maintenance of technical documentation.
• Experience with RDBMS (ex: Oracle, Postgres, MySQL) and non-SQL DBs (ex: HBase, Accumulo, MongoDB, Neo4J) methodologies
• Familiarity with Cloud technologies such as Azure, AWS, or GCP.
• Experience working in a classified environment on operational networks such as SIPR or JWICS.

Desired Skills and Knowledge

• Experience with Intelligence and C2 data sets including, but not limited to Link16, JREAP-C, SIGINT, MASINT, and GEOINT.
• Familiarity with DoD Architectural framework. Huge plus for experience with contributions to maintaining systems engineering artifacts adhering to DoDAF.
• Experience with cross domain methodologies.
• Familiarity with horizontally-scalable frameworks such as Hadoop, Docker, Kubernetes and Kafka.

Overview

SAIC® is a premier Fortune 500® technology integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. 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.