Data Engineer

• Location: Herndon, Virginia
• Type: Contract
• Job #3320

Data Engineer/Scientist
TS/SCI w/ POLYGRAPH
Chantilly, VA
Position Description: JOB DUTIES:
• Recommend to the Sponsor, changes to current applications and databases based on Sponsor requirements.
• Recommend to the Sponsor, modernization options for data hosting, data cleansing, data transport, data exposure and data ingestion at an enterprise scale
• Make recommendations to the Sponsor for modernization with a focus on performance, security, and cost, with the flexibility to store and manage large volumes of disparate, enterprise datasets while identifying the authoritative dataset and reducing dataset duplication.
• Manage enhancements and improvements to current data systems technology and processes, including data access authorizations against enterprise-approved user attributes and solutions with Sponsor oversight.
• Provide operations and maintenance of databases in the cloud infrastructure.
• Support Sponsor's representatives in cloud environment purchase, engineering, and architecture related activities as applicable to applications and databases.
• Execute development, design and creation of database systems that enable storage and smooth retrieval of data.
• Ensure the smooth and secure running of the Sponsor's enterprise database systems.
• Collaborate with team members, external stakeholders, and data stewards to define the current state of Sponsor data.
• Build data models that are optimized for reporting from a data warehouse.
REQUIRED SKILLS:
• Demonstrated experience utilizing Oracle, PostgreSQL and modern database technologies.
• Demonstrated experience with Tableau, COGNOS and modern technologies for reporting presentation.
• Demonstrated experience performing testing and quality assurance of developed solutions within the existing Oracle data tier.
• Demonstrated experience developing, creating, and modifying data structure and data load routines for analytic use cases.
• Demonstrated experience working with relational data tiers including cleansing, transforming and processing of structured data.
• Demonstrated experience working with views, triggers and Oracle PL and SQL.
• Demonstrated knowledge of Amazon Web Services environments, including RDS, S3, etc.
DESIRED SKILLS:
• Demonstrated experience with IMMUTA data policy.
• Demonstrated experience with a variety of data repository types (i.e., relational, NoSQL, distributed processing framework, etc.).
• Demonstrated experience creating and interfacing with REST APIs.