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Data Engineer

Data Engineer

CompanyIron EagleX
LocationTampa, FL, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
Degrees
Experience LevelSenior, Expert or higher

Requirements

  • 8 years’ experience as a data engineer or in a similar role
  • 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

Responsibilities

  • Build and maintain data systems and construct 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
  • 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

Preferred Qualifications

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