Senior Data Engineer with Security Clearance
LinQuest is looking for an energetic and innovative Data Engineer in San Antonio Texas to assist an Air Force Major Command in the operations of the Command Data Office (CDO).
US citizenship and the ability to obtain a DoD security clearance are required.
Position Summary Ideal candidates will have experience providing technical support and managing technical programs throughout the life cycle of data operations.
As a Data Engineer, the candidate will be adept at using large data sets to find opportunities for business optimization and using models to test the effectiveness of different courses of action.
The Data Engineer candidate should have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using and creating algorithms and/or creating and running simulations.
Candidates must have a proven ability to generate data-driven insights.
Candidates must be comfortable working with a wide range of stakeholders and functional teams that work across multiple timezones, and have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
As a Data Engineer, you will have the opportunity to work with unstructured and structured data, develop databases, build data pipelines, and find innovative solutions to complex data problems.
Candidates should be familiar with state-of-the-art data engineering techniques and have hands-on experience with data pipelines and should be comfortable manipulating, processing, and extracting value from large unstructured and structured datasets.
Key
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 Clearly document and present methodology, assumptions, and findings to stakeholdersRequired Skills and
Experience:
Bachelor's degree in Computer Science, Data Analytics, Software Development, Information Technology, or related discipline 5-10 Years of experience in data engineering Manipulating data with SQL, Python Developing data pipelines to support Analytics Documenting and communicating results of analysis Experience manipulating data from spreadsheets (i.
e.
MS Excel) Experience with Business Intelligence (BI) Tools (Power BI, Tableau, Qlik etc.
) Strong analytical and problem-solving skills with hands on experience with driving analytic insights Ability and motivation to self-teach in order to stay current with leading best practices in analytics Ability to tackle difficult problems specifically working with unstructured textual data Data wrangling skills Expected to deliver in a fast-paced, team-oriented work environment Must thrive in satisfying analytic requirements from diverse user base 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 US Citizenship and ability to acquire a DoD SECRET clearancePreferred Skills and
Experience:
Text mining and unstructured data analysis techniques such as Named Entity Recognition and Text Classification Language/Scripting skills:
JavaScript, M Tools:
Sparx Enterprise Architect, Cameo Extract, Transform, Load (ETL) experience Predictive and Prescriptive analysisWhy LinQuest? LinQuest Corporation has a stellar 40-year track ecord of providing end-to-end system-of-systems (SoS) architecture definition, engineering design, integration and test, and operations expertise to enable full lifecycle development and deployment of pre-eminent Space, Air, Land, Sea, Ground, and Cyberspace game-changing capabilities across US DOD and IC Customers' portfolios.
Unique combination of in-depth domain knowledge, lessons learned-honed best practices, and mission-specific applications of principles, tools, and techniques of Digital Engineering (DE), DE Ecosystem (DEE), and Model-Based Systems Engineering (MBSE) set LinQuest apart from the competition to consistently deliver stellar high-value results for our customers.
LinQuest's corporate vision and values place the employee at the center of utmost customer satisfaction, strategic business growth, and tactical execution excellence.
Our employees' creative and inspirational drive, sense of fulfillment of personal and professional growth, and tightknit camaraderie within and across lines of business are essential in gaining and maintaining exceptional LinQuest corporate-wide results of new business awards and renewed contracts.
Benefits:
LinQuest offers comprehensive and competitive benefit offerings to our team members to include medical, dental, vision, retirement, paid time off, tuition reimbursement, company paid life insurance, and more! For additional information please visit:
https:
//www.
linquest.
com/careers/our-benefits Qualifications Licenses & Certifications Required Ability to Obtain Recommended Skills Adaptability Analytical Architecture Big Data Business Intelligence Business Requirements Estimated Salary: $20 to $28 per hour based on qualifications.
US citizenship and the ability to obtain a DoD security clearance are required.
Position Summary Ideal candidates will have experience providing technical support and managing technical programs throughout the life cycle of data operations.
As a Data Engineer, the candidate will be adept at using large data sets to find opportunities for business optimization and using models to test the effectiveness of different courses of action.
The Data Engineer candidate should have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using and creating algorithms and/or creating and running simulations.
Candidates must have a proven ability to generate data-driven insights.
Candidates must be comfortable working with a wide range of stakeholders and functional teams that work across multiple timezones, and have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
As a Data Engineer, you will have the opportunity to work with unstructured and structured data, develop databases, build data pipelines, and find innovative solutions to complex data problems.
Candidates should be familiar with state-of-the-art data engineering techniques and have hands-on experience with data pipelines and should be comfortable manipulating, processing, and extracting value from large unstructured and structured datasets.
Key
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 Clearly document and present methodology, assumptions, and findings to stakeholdersRequired Skills and
Experience:
Bachelor's degree in Computer Science, Data Analytics, Software Development, Information Technology, or related discipline 5-10 Years of experience in data engineering Manipulating data with SQL, Python Developing data pipelines to support Analytics Documenting and communicating results of analysis Experience manipulating data from spreadsheets (i.
e.
MS Excel) Experience with Business Intelligence (BI) Tools (Power BI, Tableau, Qlik etc.
) Strong analytical and problem-solving skills with hands on experience with driving analytic insights Ability and motivation to self-teach in order to stay current with leading best practices in analytics Ability to tackle difficult problems specifically working with unstructured textual data Data wrangling skills Expected to deliver in a fast-paced, team-oriented work environment Must thrive in satisfying analytic requirements from diverse user base 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 US Citizenship and ability to acquire a DoD SECRET clearancePreferred Skills and
Experience:
Text mining and unstructured data analysis techniques such as Named Entity Recognition and Text Classification Language/Scripting skills:
JavaScript, M Tools:
Sparx Enterprise Architect, Cameo Extract, Transform, Load (ETL) experience Predictive and Prescriptive analysisWhy LinQuest? LinQuest Corporation has a stellar 40-year track ecord of providing end-to-end system-of-systems (SoS) architecture definition, engineering design, integration and test, and operations expertise to enable full lifecycle development and deployment of pre-eminent Space, Air, Land, Sea, Ground, and Cyberspace game-changing capabilities across US DOD and IC Customers' portfolios.
Unique combination of in-depth domain knowledge, lessons learned-honed best practices, and mission-specific applications of principles, tools, and techniques of Digital Engineering (DE), DE Ecosystem (DEE), and Model-Based Systems Engineering (MBSE) set LinQuest apart from the competition to consistently deliver stellar high-value results for our customers.
LinQuest's corporate vision and values place the employee at the center of utmost customer satisfaction, strategic business growth, and tactical execution excellence.
Our employees' creative and inspirational drive, sense of fulfillment of personal and professional growth, and tightknit camaraderie within and across lines of business are essential in gaining and maintaining exceptional LinQuest corporate-wide results of new business awards and renewed contracts.
Benefits:
LinQuest offers comprehensive and competitive benefit offerings to our team members to include medical, dental, vision, retirement, paid time off, tuition reimbursement, company paid life insurance, and more! For additional information please visit:
https:
//www.
linquest.
com/careers/our-benefits Qualifications Licenses & Certifications Required Ability to Obtain Recommended Skills Adaptability Analytical Architecture Big Data Business Intelligence Business Requirements Estimated Salary: $20 to $28 per hour based on qualifications.
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