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Data Engineer - Java & Big Data Engineer

Job ID: 2213822
Location: CHANTILLY, VA, United States
Date Posted: Nov 3, 2022
Category: Software
Subcategory: SW Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No Remote
Benefits: Click here

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Job Description

Description

The SAIC Katniss Project is seeking an experienced, results-oriented, mission-driven professional with specialized focus on Data Engineering to perform data model design, data formatting, and ETL development optimized for efficient storage, access, and computation in support of national security objectives. 

This role will include the following:

  • Active participant of Agile teams responsible for increasing innovation capacity and driving the velocity of development of data ingestion and data analysis. 

  • Responsible for synchronized efforts with other tasks in assembling data technologies to control the flow of data from source to value, with the goal of speeding up the process of deriving value and insight.  

  • The ideal candidate will have a passion for unlocking the secrets held by a dataset and solid understanding and experience with developing, automating, and enhancing all parts of the data pipeline to include ingestion, processing, storage, and exposing data for consumption. 

  • The Data Engineer also implements data tests for quality and also focuses on improving inefficient tooling and adopting new transformative technologies while maintain operational continuity.  

Qualifications

Required Qualifications:

  • Must have active/current TS/SCI with Polygraph Clearance

  • Bachelor’s Degree in Computer Science, Information Systems, Engineering or years of experience in lieu of degree

  • 14+ years of overall professional experience (12+ years with Masters Degree, 9+ years experience with PhD)

  • Minimum of 3 years hands-on development experience using Java, JavaScript, Python to ETL data.

  • Experience with ETL include formats such as XML, JSON and YML and normalizing data and high-volume data ingestion.

  • Minimum of 3 years of experience using and ingesting data into SQL and NoSQL database systems 

 

Desired Qualifications:

  • Familiarity with building containerized services (e.g. via Docker) 

  • Familiarity with the NEXIS platform

  • Familiarity with data conditioning

  • Experience with Apache NiFi

  • Experience developing and maintaining data processing flows.  

  • Experience with Amazon Web Services (AWS) 

  • Experience - Experience working with Linux OS 

  • Experience with CI/CD pipeline 

  • Experience with Agile Methodologies and Kanban Framework 

  • Experience with utilizing  relational databases including the use of MySQL and/ or Oracle for designing database schemas

  • Experience with Linux, REST services, and HTTP

 


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.

Overview

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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