Sabre Systems, LLC
Overview
Data Analytics Engineer role at Sabre Systems, LLC. Responsibilities
Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics work Liaise with business and operational stakeholders and customers to understand business needs, metrics, and goals and objectives. Translate and map user requirements to underlying data sources and develop plans for how those data sources can be extracted Work with data scientists, analysts, architects, and business stakeholders to develop thorough documentation for data sources and pipelines (e.g. data dictionaries, flow models, etc) Qualifications
Bachelor’s degree in an information technology related field is required, Master’s degree is preferred. Three (3) years of related experience is required Thorough working knowledge of at least two analytical programming languages (R, Python, Scala, SQL) Working knowledge of code repositories & version control (Git) Basic working knowledge at least one BI/visualization tool (Qlik, Tableau, Power BI) Technical and business domain-focused customer experience A Security + certification is required An active DoD Secret Clearance or higher is required Selected candidate must pass a background investigation This position does allow for remote work for local candidates Desired Skills
Experience working with Cybersecurity / RMF Knowledge of advanced analytics principals (statistical modeling, machine learning, AI) Experience building/maintaining/automating dashboards for users Military background a plus Sabre Overview
Sabre Systems, LLC, has been providing innovative technological solutions and services for Department of Defense, Federal Civilian, and commercial customers for more than 35 years. We support the evolving areas of advanced communication technologies, cyber, systems and software engineering, and digital transformation. We offer a collaborative work environment, learning and development opportunities, and resources to develop impactful solutions for our customers. Your health, happiness, and well-being are top priority. Sabre offers benefits that are continually enhanced to meet diverse needs. We respect the unique perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, age, disability or genetic information. EOE Minorities/Females/Disability/Veterans; VEVRAA Federal Contractor ATTENTION CANDIDATES - EMPLOYMENT SCAMS. False job opportunities/offers are being used by malicious actors to trick individuals into making payments or sharing sensitive information. If you are contacted via email from a non-sabresystems.com domain, discard. If you are sent a job link, visit www.sabresystems.com directly to apply. Sabre will never request a payment or extend a job offer prior to an interview.
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Data Analytics Engineer role at Sabre Systems, LLC. Responsibilities
Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics work Liaise with business and operational stakeholders and customers to understand business needs, metrics, and goals and objectives. Translate and map user requirements to underlying data sources and develop plans for how those data sources can be extracted Work with data scientists, analysts, architects, and business stakeholders to develop thorough documentation for data sources and pipelines (e.g. data dictionaries, flow models, etc) Qualifications
Bachelor’s degree in an information technology related field is required, Master’s degree is preferred. Three (3) years of related experience is required Thorough working knowledge of at least two analytical programming languages (R, Python, Scala, SQL) Working knowledge of code repositories & version control (Git) Basic working knowledge at least one BI/visualization tool (Qlik, Tableau, Power BI) Technical and business domain-focused customer experience A Security + certification is required An active DoD Secret Clearance or higher is required Selected candidate must pass a background investigation This position does allow for remote work for local candidates Desired Skills
Experience working with Cybersecurity / RMF Knowledge of advanced analytics principals (statistical modeling, machine learning, AI) Experience building/maintaining/automating dashboards for users Military background a plus Sabre Overview
Sabre Systems, LLC, has been providing innovative technological solutions and services for Department of Defense, Federal Civilian, and commercial customers for more than 35 years. We support the evolving areas of advanced communication technologies, cyber, systems and software engineering, and digital transformation. We offer a collaborative work environment, learning and development opportunities, and resources to develop impactful solutions for our customers. Your health, happiness, and well-being are top priority. Sabre offers benefits that are continually enhanced to meet diverse needs. We respect the unique perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, age, disability or genetic information. EOE Minorities/Females/Disability/Veterans; VEVRAA Federal Contractor ATTENTION CANDIDATES - EMPLOYMENT SCAMS. False job opportunities/offers are being used by malicious actors to trick individuals into making payments or sharing sensitive information. If you are contacted via email from a non-sabresystems.com domain, discard. If you are sent a job link, visit www.sabresystems.com directly to apply. Sabre will never request a payment or extend a job offer prior to an interview.
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