Point Solutions Group
Data Engineer
Point Solutions Group, El Segundo, California, United States, 90245
Join Point Solutions Group and our Federal Services team providing high level technical, operational, and management support to the DoD and Intelligence community nationwide. We are looking for a skilled Data Engineer to manage and analyze military and battle system data with the team in El Segundo, CA. Candidates will need an Active TS/SCI Clearance and be able to work onsite at the prime contractors facility.
Responsibilities:
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries.
Research state-of-the-art data mining methods and innovative statistical models.
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
Process, cleanse, and verify the integrity of data used for analysis.
Develop code for predictive/prescriptive models with applied machine learning and other modeling techniques.
Clearly document and present methodology, assumptions, and findings to stakeholders.
Required Skills and Experience:
Bachelor's degree in Computer Science, Data Science, Data Analytics, Software Development, Information Technology, or related discipline.
5+ Years of experience in data engineering.
Experience manipulating data with Python, SQL, R, VBA.
Experience building data visualizations and communicating results to stakeholders.
Experiences with databases, data repositories, and data management tools.
Languages: Python, SQL.
Expected to be able to adapt quickly to changing needs across several core areas, including data wrangling, data exploration, data analysis, and data visualization.
Must have the knowledge and communication skills to articulate trade-offs between analytic techniques, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
Developing data pipelines to support Analytics.
Tools: Microsoft's Power BI.
The ability to work in a secure, confined location (i.e., SCIF).
US Citizenship and an active DoD TS/SCI to be considered for this position.
Preferred Skills and Experience:
Languages: JavaScript, Java, C++, C#, HTML.
Analysis tool(s): MATLAB/Simulink.
MBSE tools: Sparx Enterprise Architect, Cameo.
Agile tools: Jira, Confluence, Kanban.
Experience with MS&A and MS&A tools.
Experience with Configuration Management.
Experience with System Administration.
Background in web-design or dashboard design.
Predictive and Prescriptive analysis.
Experience working with and building REST APIs.
Experience with Graph Analysis tools such as Neo4J and Cypher.
Applying advanced analytics and machine learning techniques.
Experience working as a member of an agile software development team (e.g., Scrum, Kanban).
Experience with MySQL, shell scripting, UNIX/LINUX, GIT, Docker.
Experience with container deployment.
Experience with continuous integration process and tools.
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Responsibilities:
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries.
Research state-of-the-art data mining methods and innovative statistical models.
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
Process, cleanse, and verify the integrity of data used for analysis.
Develop code for predictive/prescriptive models with applied machine learning and other modeling techniques.
Clearly document and present methodology, assumptions, and findings to stakeholders.
Required Skills and Experience:
Bachelor's degree in Computer Science, Data Science, Data Analytics, Software Development, Information Technology, or related discipline.
5+ Years of experience in data engineering.
Experience manipulating data with Python, SQL, R, VBA.
Experience building data visualizations and communicating results to stakeholders.
Experiences with databases, data repositories, and data management tools.
Languages: Python, SQL.
Expected to be able to adapt quickly to changing needs across several core areas, including data wrangling, data exploration, data analysis, and data visualization.
Must have the knowledge and communication skills to articulate trade-offs between analytic techniques, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
Developing data pipelines to support Analytics.
Tools: Microsoft's Power BI.
The ability to work in a secure, confined location (i.e., SCIF).
US Citizenship and an active DoD TS/SCI to be considered for this position.
Preferred Skills and Experience:
Languages: JavaScript, Java, C++, C#, HTML.
Analysis tool(s): MATLAB/Simulink.
MBSE tools: Sparx Enterprise Architect, Cameo.
Agile tools: Jira, Confluence, Kanban.
Experience with MS&A and MS&A tools.
Experience with Configuration Management.
Experience with System Administration.
Background in web-design or dashboard design.
Predictive and Prescriptive analysis.
Experience working with and building REST APIs.
Experience with Graph Analysis tools such as Neo4J and Cypher.
Applying advanced analytics and machine learning techniques.
Experience working as a member of an agile software development team (e.g., Scrum, Kanban).
Experience with MySQL, shell scripting, UNIX/LINUX, GIT, Docker.
Experience with container deployment.
Experience with continuous integration process and tools.
#J-18808-Ljbffr