Jan 22
Top Secret/SCI
Full Scope Polygraph
IT - Software
Chantilly, VA (On-Site/Office)
CYPHERINTEL
Labor Category – Level: Software Developer Cloud– Journeyman
Schedule: M-F; Core Hours (9am-3pm)
Location: Chantilly
Summary
The successful candidate will leverage their development skills and experience to support the
successful ingestion, cleansing, transformation, loading, and display of significant amounts of
data, with a particular focus on Cloud data.
Duties, Tasks & Responsibilities
• Designing, implementing, and optimizing large-scale ingest systems in a Big Data Cloud
environment
• Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final
display and beyond
• Designing and implementing data extraction, cleansing, transformation, loading, and
replication/distribution
• Developing custom solutions/code to ingest and exploit new and existing data sources
• Developing data profiling, deduping logic, and matching logic for analysis
• Organizing and maintaining data layer documentation, so others are able to understand
and use it
• Collaborating with teammates, other service providers, vendors, and users to develop
new and more efficient methods
• Effectively articulating the risks and constraints associated with software solutions, based
on environment
Required Experience, Skills, & Technologies
• Strong software development experience, to include significant Java development,
data analysis/parsing, and SQL/database experience
• Strong experience with the full data lifecycle, from ingest through display, in a Big Data
environment
• Strong experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or
Spring, and experience with RESTful APIs
• Experience developing and performing ETL tasks in Linux and/or Cloud environments
Desired Experience, Skills & Technologies
• Demonstrated experience delivering solutions using Cloud technologies, such as AWS,
Microsoft Azure, etc.
• Experience with Hadoop, Hbase, MapReduce
• Experience with Elasticsearch
• Experience working in a mission environment and/or with many different types of data
Labor Category – Level: Software Developer Cloud– Journeyman
Schedule: M-F; Core Hours (9am-3pm)
Location: Chantilly
Summary
The successful candidate will leverage their development skills and experience to support the
successful ingestion, cleansing, transformation, loading, and display of significant amounts of
data, with a particular focus on Cloud data.
Duties, Tasks & Responsibilities
• Designing, implementing, and optimizing large-scale ingest systems in a Big Data Cloud
environment
• Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final
display and beyond
• Designing and implementing data extraction, cleansing, transformation, loading, and
replication/distribution
• Developing custom solutions/code to ingest and exploit new and existing data sources
• Developing data profiling, deduping logic, and matching logic for analysis
• Organizing and maintaining data layer documentation, so others are able to understand
and use it
• Collaborating with teammates, other service providers, vendors, and users to develop
new and more efficient methods
• Effectively articulating the risks and constraints associated with software solutions, based
on environment
Required Experience, Skills, & Technologies
• Strong software development experience, to include significant Java development,
data analysis/parsing, and SQL/database experience
• Strong experience with the full data lifecycle, from ingest through display, in a Big Data
environment
• Strong experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or
Spring, and experience with RESTful APIs
• Experience developing and performing ETL tasks in Linux and/or Cloud environments
Desired Experience, Skills & Technologies
• Demonstrated experience delivering solutions using Cloud technologies, such as AWS,
Microsoft Azure, etc.
• Experience with Hadoop, Hbase, MapReduce
• Experience with Elasticsearch
• Experience working in a mission environment and/or with many different types of data
group id: 91123970
