Job Description:

Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions.

The work you'll do:

• Movement of structure and unstructured data using approved methods.
• Execute data ingestion activities for storing data in a local or enterprise level location.
• Develop code to format data that supports exploration.
• Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives.
• Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models.
• Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards.
• Develop and deliver documentation for each project including ETL mappings, code use guide, code location and access instructions.

Here's what you'll need:

• Bachelor's degree (or higher) in the field of computer science, information systems, engineering, mathematics, or other related scientific or technical discipline.
• 5+ years of experience managing, optimizing query performance, and processing large volumes of bulk data.
• Experience working with and performing data modeling.
• Experience with software coding languages including at least two (2) of the following: Java, Javascript, SQL, Python, R or Bash Scripting.
• Experience with database technologies including at least two (2) of the following: MySQL, NoSQL, PostgreSQL, Oracle, MongoDB, Elasticsearch, Hbase, RDS or Cassandra.

Security clearance:

• Active TS/SCI with Poly security clearance is required.