SAIC

Space Protection Mission Data Engineer

SAIC • $120K — $145K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI clearance with polygraph required.
  • Bachelor's degree with 9+ years, Master's with 7+ years, or PhD with 4+ years of experience in related fields.
  • Experience with developing, testing, or fielding space software systems.
  • Proven track record in engineering and managing data layer solutions.
  • Knowledge of data management architectures and technology trade-offs.

Responsibilities

  • Provide data management and integration support for space I&W capabilities.
  • Coordinate with mission application teams to define data layer needs.
  • Manage generation and maintenance of system data layer requirements and performance metrics.
  • Lead identification and integration of external data sources from DoW and IC.
  • Evaluate data architectures and recommend improvements for data pipelines.
  • Represent the SPO during program planning and sprint events to ensure priorities are met.

Benefits

  • Collaborative work environment with mission-related experts.
  • Opportunity to contribute to cutting-edge space protection technologies.
  • Potential for professional development in advanced data solutions.
  • Engagement in Agile development practices and methodologies.
Full Job Description
Job Description

SAIC is seeking a Space Protection Mission Data Engineer to join the Space and Intelligence Business Group providing systems engineering and technical advisory services to a Government Intelligence Community (IC) customer. The customer is developing the next generation of space and ground systems, architectures, and hardware and software solutions.

The Space Protection Mission Data Engineer will serve as the subject matter expert (SME) and System Program Office (SPO) representative coordinating with the development contractor and stakeholders (including end user operators) for deployment of new space protection and Indications and Warning (I&W) capabilities into space operations. The Space Protection Mission Data Engineer collaborates within a team of mission-related SMEs to support the development and delivery of reliable, scalable data solutions for an I&W ground system that maximizes data quality and reliability while optimizing system cost and performance.

The Space Protection Mission Data Engineer responsibilities include, but are not limited to:
• Provides data management and integration support to the government's system data layer solution owner for the software development of a ground system providing space I&W capabilities.
• Coordinates with mission application development teams to elicit system data layer needs and dependencies and supports delivery of well-documented, reliable datasets and interfaces.
• Manages the generation and maintenance of system data layer requirements and performance measures in coordination with the Government, third-party developers, and other stakeholders.
• Leads the identification, coordination, and system integration of Department of War (DoW) and IC external data sources.
• Evaluates data architectures and assesses overall technical progress of system's data layer development, offering recommendations to the government to improve data pipelines, data quality, and other technical data-related issues.
• Represents the SPO during software Program Increment (PI) planning, pre-planning, Sprint close-out, and demonstration events to guide development activities and ensure focus on SPO's data layer priorities.

Qualifications

Required:
• Must possess an active TS/SCI clearance with polygraph.
• Bachelor's and nine years or more experience; master's and seven years or more of experience; PhD and four or more years of experience in computer science, computer engineering, data engineering, related field, or equivalent experience.
• Experience developing, testing, or fielding space software systems, space or ground components.
• Experience engineering, managing, and evaluating data layer solutions.
• Familiar with trade-offs between data management architectures and technologies.

Desired:
• Experience with scalable ETL/ELT data pipelines from multiple structured and unstructured data sources.
• Experience authoring interface control documents or application programming interfaces.
• Familiarity with Data-as-a-Service architecture approaches utilizing restful APIs.
• Familiarity with SQL and NoSQL database architectures.
• Familiarity with attribute level tagging and data visibility controls for multi-level security data architectures.
• Familiarity with cloud architecture, application, and integration (e.g., DataBricks, AWS, Azure, GCP).
• Familiarity with Agile development methodologies including participation in scrums, development of solution epics/features, and continuous integration/continuous deployment.

About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ

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