Yesterday
Secret
Early Career (2+ yrs experience)
$100,000
No Traveling
IT - Data Science
Remote/Hybrid•Springfield, VA (Off-Site/Hybrid)
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
● 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
group id: 91015224
