Senior Data Engineer at SAIC

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Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

0.0

Posted On

20 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Engineering, Data Pipelines, Data Governance, SQL, Python, Java, Data Visualization, Cloud Platforms, Data Security, ETL, Problem-Solving, Collaboration, Data Storage, Quality Assurance, Documentation

Industry

Defense and Space Manufacturing

Description

SAIC is seeking cleared (Secret) Data Engineer / Architect to support a recently awarded Navy Information Warfare Systems Command (NAVWAR) contract. An active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance is required. Job Summary: We are working to establish a Common Digital Foundation (CDF) – a shared, secure, and interoperable foundational data platform. As the Data Architect/Data Engineer, you will be a core member of the team responsible for designing, building, and managing the infrastructure that underpins the CDF. You will work collaboratively with developers, data scientists, and other key stakeholders to ensure the CDF is VAULTIS (visible, accessible, understandable, linked, trustworthy, interoperable, and secure) compliant and scalable to meet current and future needs. This role requires a blend of data architectural skills and hands-on engineering expertise. This is a recently awarded contract, funded for five years. Work is primarily performed on site in San Diego, CA and has some hybrid remote flexibility. You must live in the local area to frequently come on site. Duties and Responsibilities: Define and implement a next-generation data architecture for the CDF to ensure long-term scalability Create and manage robust and reliable data pipelines from diverse data sources (e.g., structured, semi-structured, and unstructured) aligning with data governance policies, security standards and industry best practice Develop and implement data standards, procedures, and definitions for data governance as required aligning with higher headquarters policies when applicable Evaluate and recommend appropriate technologies and tools Ensure data curation processes maintain accuracy and integrity through a quality assurance process Work closely with data analysts and data scientists to ensure data solutions are accessible and reliable Design and implement effective data storage solutions using appropriate technologies (e.g., cloud, on-premise) Contribute to the documentation of data architecture, data pipelines, data catalog, and ETL capabilities Please view our Program page for more information and to view all open positions available: https://jobs.saic.com/pages/NOA. Required Education and Years Experience: Bachelor's Degree in Computer Science or related field and thirteen (13) years of experience Required Clearance: US Citizenship Active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance is required Required Experience and Skills: Proven experience in building and managing data pipelines, data storage, and associated infrastructure Proficiency in SQL and at least one programming language (e.g., Python, Java, etc.) for data processing and automation Experience in data visualization tools and techniques Understanding of data warehousing solutions and ETL (Extract, Transform, Load) frameworks Experience with cloud platforms (e.g., AWS, Azure) and their data services Experience with data governance frameworks and tools, as well as data security Excellent communication and collaboration skills with the ability to work with both technical and non-technical stakeholders Strong problem-solving skills with a proactive approach to resolving issues Preferred Skills and Experience: An advanced degree is a plus

Responsibilities

Design and implement a next-generation data architecture for the Common Digital Foundation (CDF) to ensure long-term scalability. Create and manage robust and reliable data pipelines from diverse data sources while ensuring compliance with data governance policies and security standards.