Data Engineer with Security Clearance

Key Responsibilities:
Create data tools for analytics and data scientist team members that support innovative and industry leading products.
Create and maintain optimal data pipeline architecture
Assemble large, complex datasets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources to include but not limited to SQL, Databricks, and Azure 'big data' technologies
Work with data and analytics experts to strive for greater functionality in the data systems
Required Qualifications:
Candidate must be a United States Citizen and present proof of Citizenship, if selected
Bachelor's degree in Computer Science, IT or similar fields or relevant work experience
Two (2+) years of experience as a data engineer or a similar role
Hands-on experience with wide variety of data platforms such as SQL database design, PostgreSQL, and Microsoft SQL Server
Working knowledge of programming languages including Jira, PySpark, Python, R, etc.
Capable of supporting and working with cross-functional teams in a dynamic environment
Basic knowledge of Agile Scrum
Bonus Qualifications:
Data engineering certification (e.g., IBM Certified Data Engineer)
Experience with Palantir Foundry or Databricks
Technical expertise with data models, data mining, and segmentation techniques
Strong understanding of data pipelines; should be able to work with REST, SOAP, FTP, HTTP, and ODBC
Working knowledge of message queuing, stream processing, and highly scalable data stores
Familiar with using ETL Solutions like Azure Data Factory to assist in the extracting, transforming, and loading of data into databases or other storage types
Familiar with Cloud Platforms