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Database Engineer

    Raytheon is supporting a U.S. Government customer on a large mission critical development and sustainment program to design, build, deliver, and operate a network operations environment; including introducing new cyber capabilities to address emerging threats. Raytheon Cybersecurity and Special Missions (CSM) is seeking a Database Engineer to work collaboratively with agile development teams in the design, development, and deployment of advanced cybersecurity capabilities. Experience with Amazon Redshift and DynamoDB in the AWS cloud are highly desired for this position.

    Responsibilities include but are not limited to the following:
    - Work with large structured and unstructured data sets
    - Implement data management systems from conception, through all stages of design, development, and deployment in a CI/CD agile environment
    - Design, setup and administration of Amazon Redshift data warehouse in the AWS cloud
    - Design, setup and administration of DynamoDB NoSQL database in the AWS cloud
    - Migrate data from legacy RDBMSs and other data sources to AWS cloud databases using AWS tools, programming languages, and complex ETL processes
    - Design and implement the technical architecture necessary to support analytic and statistical processing requirements based on tradeoff between performance and quality
    - Perform data transformations such as aggregations, joins, and data cleaning to support analytic applications and visualizations
    - Write and refine code to ensure quality and reliability of data extraction and processing
    - Analyze and resolve data performance and quality issues
    - Make data available to data scientists, programmers, and other users using programming and scripting languages such as R, Python, Java, JavaScript, etc.
    - Perform data analysis and design, data modeling, business intelligence management, master data management, metadata management, data quality management, data security, auditing and other functions of data management and governance
    - Work collaboratively with agile development teams, attending daily scrums and providing data related solutions to development team
    - Develop and maintain database code libraries, data models, SOPs, and other documentation in the team collaboration environment
    - Strong understanding of customer baseline capabilities, design and objectives, and applying improvements to systems
    - Maintain current industry knowledge of relevant concepts, practices and procedures


    Required Skills:
    - U.S. Citizenship required
    - Must be able to obtain TS/SCI with DHS Suitability
    - Must have a minimum of 6+ years of relevant professional experience
    - Understanding of big data and data analytics
    - Experience working with large structured and unstructured data sets
    - Experience in the design, setup, management, data migration, and tuning of Redshift and DynamoDB databases in the AWS cloud using AWS tools, and custom code
    - Development experience building ETL pipelines at scale
    - Experience with data transformation techniques such as aggregations, joins, and data cleaning
    - Strong understanding of Red Hat Enterprise Linux operating system, storage configurations, network architecture, VMware, management tools, and the trade-offs of various configurations on performance and data quality
    - Programming experience with R, Python, Java, JavaScript, JSON, etc.
    - Strong SQL development skills
    - Experience with Unix tools and shell scripts
    - Expertise in data analysis and design, data modeling, master data management, metadata management, data warehousing, performance tuning, data quality improvement, data security, auditing and encryption
    - Experience managing technology strategy / roadmap
    - Possess good communication skills, both oral and written
    - Must work well in a team environment as well as independently
    - Must exhibit good time management skills, independent decision making capability; focus on customer service.

    Desired Skills:
    - Experience providing database engineering support to Intelligence, DoD, or DHS Customers
    - Understanding of Certification and Accreditation (ICD 503/DCID 6/3) processes as they apply to database technologies
    - Ability to support both SQL and NoSQL data management systems
    - Expertise in other RDBMS platforms such as IBM PureData, Oracle RAC, and SQL Server
    - Familiarity with AWS data migration tools such as AWS DMS, Amazon EMR, and AWS Data Pipeline
    - Knowledge of Hadoop ecosystem, Map/Reduce, and data management products including Hbase, Hive, and Pig
    - DevSecOps and continuous integration/continuous delivery knowledge
    - Trained in Six Sigma Methodology
    - ITIL knowledge and certification
    - Familiarity with SAFe

    Education:
    - Bachelors Degree in Computer Science or a related technical discipline. Equivalent experience may be considered in lieu of a degree.

    Desired Certifications (any of the following or related certifications):
    - IBM Certified Data Engineer - Big Data
    - Google Cloud Certified Professional - Data Engineer
    - Cloudera Certified Professional - Data Engineer
    - CCDH: Cloudera Certified Developer for Apache Hadoop
    - CCAH: Cloudera Certified Administrator for Apache Hadoop
    - CCSHB: Cloudera Certified Specialist in Apache HBase
    - CSSLP Certified Secure Software Lifecycle Professional
    - Database specific certifications as appropriate to position
    - DODI 8570.1 Compliance at IAT Level I certification highly desired
    - SAFe Practitioner or higher desired

    DOMino IIS

      134707

      Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

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      Company Name:
      Security Clearance:
      DHS
      Location:
      Dulles, Virginia
      Country:
      United States
      Salary:
      Not Specified
      Job Number:




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