Enterprise Data Engineer

Full Time

  • No Travel Required

Job Description

Job ID: 2217436

Location: CHANTILLY , VA , US

Date Posted: 2022-11-28

Category: Information Technology

Subcategory: Info Architect

Schedule: Full-time

Shift: Day Job

Travel: Yes, 10 % of the Time

Minimum Clearance Required: TS/SCI with Poly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: No


SAIC is seeking an Enterprise Data Engineer to fill a critical position on the LANDMARK AOS program. The position will be located onsite in Chantilly, VA or Denver, CO. All candidates must have an active TS/SCI clearance with Polygraph for consideration.

LANDMARK AOS is a large SETA contract, supporting the customer's Ground Enterprise Directorate (GED), responsible for the acquisition of systems over the complete end-to-end life cycle.

This position will provide specialized engineering expertise supporting the acquisition of multi-intelligence (multi-INT) cloud-based data framework services across multiple security enclaves. SAIC's client is tasked with leading the integration of mission focused tools to foster increased efficiency, automation and information sharing. The qualified candidate will assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise. You will perform data engineering on the I2SPO Integrated Data Layer to ensure an approach that is data-centric; meets mission needs for performance, scalability & flexibility; and retains agility. You will work with the I2SPO Framework developers and mission applications to evaluate specific tools, technologies, approaches and data structures for data-centric implementation of the Integrated Data Layer. You will be responsible to coordinate definition, implementation, integrations, testing and deployment using an agile DevSecOps approach.

Job Responsibilities:
  • Contribute to technical and architectural direction of data evolution roadmap that includes data ingestion, storage, reporting, data science analytics through gathering requirements, guiding stakeholders to best-practices in building modern data solutions (AWS technology stack)
  • Partner directly with the application teams to propose, define, implement and track new mission solutions and technologies
  • Analyze structured and semi-structured data sets from a variety of sources; design, document, and manage enterprise data models and processes; and develop new data flows in support of mission analytics
  • Execute a data governance program that creates mission value from enterprise data while adhering to applicable compliance requirements
  • Apply systems analysis and design methodology assessments to identify technical debt, architectural runway and efficiency trade-offs against current and proposed/desired cloud-based software system design
  • Develop briefings and documentation material including developing technical roadmaps and the acquisition strategies/documentation to implement them
  • Lead SAFe agile process evolution across Government teams, development contractors, user engagement teams, and stakeholders

You will work side-by-side with the other LANDMARK AOS staff comprised of world class System Engineers, Acquisition Engineers and Domain Experts to lead the customer in acquiring modern processing applications.


Required qualifications:
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience
  • Active Top Secret Clearance with Polygraph
  • Strong engineering background with knowledge of cloud software architectures
  • Experience supporting system architecture, design or development in an AWS/C2S environment
  • Domain knowledge in Agile software development practices
  • Demonstrated capability and success working in team environments
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high-tempo environment
  • Good working knowledge of MS Office applications

Desired qualifications:
  • 5+ years of experience in designing and developing data modeling with a minimum of 3 of those years specializing in big data architecture or data analytics
  • Advanced data modeling skills
  • Knowledge of the Defense Intelligence Common Ontology (DICO)
  • Demonstrated experience in managing technical, cost and schedule performance of software development programs
  • Experience in DevSecOps delivery of software capabilities for AWS/C2S optimized environments
  • Experience monitoring developer progress via agile metrics, identifying risks, discrepancies, and performance issues
  • Certification in agile software development methods (Scrum, SAFe)
  • Amazon Web Services (AWS) certification

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.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 .

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