Software Developer (Big Data Analytics)

Parsons   •  

Aberdeen, MD

Industry: Professional, Scientific & Technical Services

  •  

Not Specified years

Posted 32 days ago

Ready to use your expertise on a wide variety of difficult defense security assignments, applying analytical techniques as part of a team that tackles national defense challenges? Want to take your skills to the next level to work on tough projects that will make a huge impact?

Parsons is seeking highly motivated, self-starting individuals to develop big data analytic capabilities for ARL and its customers, such as the acquisition and test & evaluation communities. Datasets are high dimensional, high volume, and highly heterogeneous. The individual will work with Army scientists and engineers to understand the data domain and current practices, while at the same time thinking outside the box and using their mathematical/statistical modeling expertise to develop next generation analytic workflows. The individual will work with team members and incorporate their models, and insights derived from those models, to develop user-facing visual analytic prototypes.

We work with emerging computational platforms and architectures, advanced algorithms, new programming models, immersive visualization tools, virtual/augmented reality, machine/deep learning, and related areas. Our facilities include high performance computers, emerging processors, development platforms, neuromorphic processors and accelerators, and a 2-D/3-D and immersive visualization lab.

Qualifications:

  • Bachelor's or higher in Computer Science, Engineering, Math or Statistics
  • Experience configuring and working with Hadoop in a Kerberos environment
  • Experience using data warehouse and analytics infrastructure using YARN, Spark, Hive and HBase
  • Experience with Phoenix, management of Hive and Spark UDF's and mangement of PySpark and Scala dependencies preferred
  • Experience with Python and Bash
  • Ability to develop and exercise data sciences and statistical modeling approaches for distributed processing and analysis of large datasets
  • Experience with Linux
  • Strong math skills; experience with numerical linear algebra, machine learning, data structures, high performance computing
  • Proof of U.S. citizenship or permanent residency is required due to government federal requirement
  • Applicants selected for employment may be subject to a federal background investigation and may need to meet additional eligibility requirements for access to classified information or materials


ABILITY TO OBTAIN AND MAINTAIN A SECRET CLEARANCE

Preferred:

  • Experience with Scala, Java or R
  • Experience with Knox and Nifi

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