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Data Engineer
  • Java
  • SAS
  • Amazon Web Services
  • Linux
  • Big Data
  • Data Analysis
  • Database
  • ETL
  • Hadoop
  • Unix
  • C#
  • Azure
Ops Tech Alliance
Springfield, VA
125 days ago

This position requires a Top Secret security clearance and eligibility for access to Sensitive Compartmented Information (TS/SCI)



Desired Experience:

    • At least 5 years of experience with Big Data systems, including Hadoop and Cloudera
    • At least 2 years of experience with the design, implementation, or consulting for applications deployed across multiple organizations or a technical environment
    • Experience with multiple operating systems, including Linux-, UNIX-, and Windows-based
  • - Experience running, enhancing, and significantly upgrading and modifying Hadoop- and Cloudera-based environments for support to a wide variety of querying approaches
    • Experience establishing continuous integration and continuous deployment processes for applications and environments
    • Experience with extract, transform, and load (ETL) processes
    • Experience with multiple database technologies


Desired Education: Bachelors of Art (BA) or Bachelors of Science (BS), preferably in a related field.

Required Certifications:Security+ or CISSP Certification required

Work Description:
The Data Engineer is responsible for the configuration and ingestion of structured, unstructured, and semi-structured data repositories. Their work is focused on turning these data repositories into effective resources that satisfy mission requirements and that support a data analytics and rapid development pipeline. They maintain all operational aspects of data transfers, accounting for the security posture of the underlying infrastructure and the systems and applications that are supported, and they monitor the health of the environment through a variety of health tracking capabilities.

The Data Engineer also automates configuration management using NiFi and other tools and they stay current on data extraction, transfer, and loading (ETL) technologies and services. They should be able to work under general guidance, demonstrate the initiative to develop approaches to solutions independently, review architecture, and identify areas for automation, optimization, right-sizing, and cost reduction to support the overall health of the environment.

The Data Engineer applies their specialized knowledge of data and leverages their expertise to structure and retrieve data, comprehend Cloud architectural constructs, and support the establishment and maintenance of Cloud environments programmatically. Lastly, they engage with multiple functional groups to understand client challenges, prototype new ideas and new technologies, help create solutions to drive innovation, and they design, implement, schedule, test, and deploy full features and components of solutions.

Additional Desired Qualifications:

  • Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0
  • Experience applying DoD Security Technical Implementation Guides (STIGs) and automating that process
  • Experience with storage fundamentals, including CIFS and NFS and backup and disaster recovery processes a plus
  • Experience configuring and aggregating logs for data analysis using Splunk or ELK solutions
  • Experience maintaining data transfer systems, including NIFI
  • Experience with two or more programming languages, including C#, Java, .NET, or similar
  • Knowledge of FedRAMP, RMF, and the implications of C&A and SA&A in a DoD environment a plus
  • Any industry-recognized Cloud Certifications preferred

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