Data Engineer
Company | Iron EagleX |
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Location | Tampa, FL, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Senior, 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