TS/SCI w/ Poly - Data Engineer

Data Engineer

Description

Requires technical support with expertise in data engineering, systems architecture, software engineering,

and project management for the systems used to collect and process data used to support systems and advance

the way those systems are tasked and used to identify and perform operations.

Program leverages integrated discrete technologies to support massive data processing, storage, modeling

and analytics over several thousand unique data sources, to perform threat identification and analysis.

Components comprise the ‘core’ data platform capability – the technologies and systems, data, data processing

and modeling, and use of the data via data science and querying of the data corpus and model(s) to derive

information. The ‘core’ data platform capability serves as the backbone for other capabilities (e.g., web

applications) to accelerate its operations.

Requirements

Required Skills and Demonstrated Experience

·       Demonstrated experience developing, running, and analyzing results of complex queries

·       against data stores and data processing environment(s).

·       Demonstrated experience manipulating structured and unstructured data to perform

·       analysis and generate reporting and products.

·       Demonstrated experience using analytic techniques and tools to perform analytic support.

·       Demonstrated experience developing and using data processing technologies such as

·       Python, SPARK, Java, , SQL, ECL, , Jenkins, PyPi, Terraform, Cloudera, Apache NiFi, Apache Hop,

·       and ElasticSearch to perform data processing.

·       Demonstrated experience developing, validating, and using methodologies to support

·       analytic requirements in Clustered Computing environments.

·       Demonstrated experience with system hardware and software troubleshooting.

·       Demonstrated experience with Information Technology architectures (i.e., servers, storage,

·       and virtualization).

·       Demonstrated experience with data analytics tools SPLUNK and ELK.

·       Demonstrated experience with system and enterprise level health and status monitoring.

·       Demonstrated experience planning and coordinating the system testing, integration,

·       deployment, installation, validation, troubleshooting and analysis across networks and systems

·       of collection or processing systems equipment.

·       Demonstrated experience monitoring and adjusting collection or processing systems or

·       equipment.

Benefits

·       Full Medical, dental and vision coverage for employee and all immediate dependents!

·       Generous PTO  

·       11 paid holidays 

·       6% 401(k) auto contribution

·       Company-funded life insurance 

·       Tuition and training assistance 

·       Financial rewards for employee referrals 

·       Cash bonus SPOT Awards for efforts above and beyond your role like contributing to proposals, working billable overtime, receiving customer recognition or awards, supporting BD/marketing material creation and more!

·       Regular team events (sporting events, lunches, gatherings, etc)