Peraton Looking for ETL Engineer at Fort Meade, MD  Full Time

Job Locations

US-MD-Fort Meade

Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures. Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces. Handle processing and index requests against high-volume collections of data and high-velocity data streams. Has the ability to make discoveries in the world of big data. Requires strong technical and computational skills – engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments. Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions. Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++). Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST. Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar. Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics. Experience with open source textual processing such as Lucene, Sphinx, Nutch or Solr. Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc. Experience with machine learning, algorithm analysis, and data clustering.

Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures. Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces. Handle processing and index requests against high-volume collections of data and high-velocity data streams. Has the ability to make discoveries in the world of big data.

Master’s in one of the following disciplines: Operations Research, Applied Mathematics, Engineering, Science, Computer Science, Mathematics, or Statistics plus three (3) years of experience; or Bachelor’s in a technical field Operations Research, Applied Mathematics, Engineering, Science, Computer Science, Mathematics, or Statistics plus five (5) years of experience.

• Significant experience programming in at least one other programming language (Python, R, Perl, C++)

• Strong technical and computational skills – engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.

• Ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.

• Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++).

• Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST.

• Experience with developing, documenting, implementing, and automating ETL(extract transform load) processes using SQL and other analytical programming tools that most efficiently import structured, semi-structured, and unstructured data from new and/or dynamic data sources, ensuring data validity, reliability, and availability to users.

• Experience utilizing ETL software (e.g., PowerCenter, Pentaho, NiFi, Informatica, PLSQL, or equivalent tool), Business Intelligence software (e.g., Power BI, Tableau , SAS BI, Oracle BI, Cognos, Business Objects), or Geospatial Information Systems (GIS) software (e.g., ESRI ArcGIS suite).

• Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar.

• Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.

• Experience with machine learning, algorithm analysis, and data clustering.

• Experience with data warehousing tools and technologies.

  
  Nice to Have:

  SQL Certified Programmer certificate

  Certified Analytics Professional (CAP)

  IBM Data Science Professional Certificate

  Microsoft Certified AZURE Data Scientist Associate

  SAS Certified Data Scientist

Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our employees do the can’t be done, solving the most daunting challenges facing our customers.

Salary Minimum: $72,500
Salary Mid: $145,000
Salary Maximum: $181,300

The estimate displayed represents the typical salary range for this position, and is just one component of Peraton’s total compensation package for employees. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Peraton provides a variety of benefits to employees.

An Equal Opportunity Employer including Disability/Veteran.