Data Engineer

Overview

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.

Responsibilities

Job Description:

The Data Engineer builds and maintains data systems and constructs datasets that are easy to analyze and support customer requirements. Implement methods to improve data reliability and quality. Combine raw information from different sources to create consistent and machine-readable formats. Develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Develop and deploy Application Programming Interfaces (API) to expose IDST maintained data to the enterprise.

Job Duties Include (but not limited to):

• Acquire and assemble large, complex datasets that align with USSOCOM enterprise
• Building, testing, and maintaining data infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using modern data
• Develop analytics tools and transformative algorithms for data to provide actionable insights into customer processes, operational efficiency, and other key business performance metrics.
• Create new data validation methods for analytics and data scientist team members that assist them in building and optimizing products to fulfill customer objectives.
• Work with IDST stakeholders including USSOCOM leadership, customers, and design teams to assist with data-related technical issues and support their data infrastructure needs.
• Analyze procedures for USSOCOM data separation, access, and security across users and the enterprise data architecture.
• Work with IDST data and analytics experts to strive for greater functionality in our data systems and capability integration.
• Create and maintain optimal data pipeline architecture and support associated process improvements for automating manual processes, data delivery, and infrastructure re-design for scalability.

Qualifications

Required Skills & Experience

• 8 years’ experience as a data engineer or in a similar
• Demonstrated experience employing data models, data mining, and segmentation techniques.
• Demonstrated experience developing, deploying and/or maintaining enterprise level data solutions.
• Experience with SQL database design
• Python, SQL, NoSQL, Cypher, POSTGRES
• Can write in modern coding languages; Python & JavaScript required; Experience with Flask and React preferred.
• Can read and understand other coding languages; HTML/CSS, R, Java, C, C++, C#
• Create respective process documentation using a web-based version control
• Experience with Gitlab and Jira
• Provide written and verbal communication and respective business process
• Work independently and on teams and have excellent time management and work prioritization skills
• Execute complex projects within government defined timelines across a geographically dispersed workforce and user base

Desired Skills

• SQL Alchemy, Flask, Swagger, JavaScript, Spark, Hadoop, Kafka, Hive, R, storm, MATLAB, Neo4J, MongoDB
• Data engineering certification is a plus

Education & Certifications:

• Possess a minimum of a bachelor's degree in computer science, IT, or similar field.

Security Clearance: 

• Active TS/SCI is required.

Benefits:

• National health, vision, and dental plans
• 20 days of PTO and 11 paid holidays
• Life Insurance
• Short- and long-term disability plans
• 401(K) retirement plan
• Incentive and recognition programs
• Relocation opportunities

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans