Chenega MIOS SBU
Overview
Data Engineer role at Chenega MIOS SBU, Huntsville, AL. The Data Engineer builds data pipelines and integrates sources for use in dashboards, analytics, and compliance reporting. The Data Engineer ensures data is secured through testing, implementation, design, and monitoring. Responsibilities
Manage and coordinate with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms. Develop, maintain, evaluate, and test data solutions within an organization. Develop and execute plans, policies, and practices that control, protect, deliver, and enhance the value and integrity of the organization's data and information assets and programs. Collect, store, process, and analyze raw and/or complex data from multiple sources, recommend ways to apply the data, choose and design optimal data solutions, and build data processing systems, using expertise in data warehousing solutions and working with the latest database technologies. Maintain, implement, and monitor the quality of the data and information with the architecture used across the company; report on results and identify and recommend system application changes required to improve the quality of data in all applications. Investigate data quality problems, conduct analysis to determine root causes of problems, correct errors, and develop prototypes, process improvement plans across all programs, and proof of concepts for the selected solutions. Process unstructured data into a form suitable for analysis, followed by doing the analysis. Integrate innovations and algorithms into the organization's data systems, working closely with engineering team. Implement complex data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. Establish safety protocols to protect all data collected and used by the organization. Ensuring the compliance of policy, processes, and procedures throughout the day-to-day management of the organization. Work closely with the client to assist in managing data needs and supporting collection of data needed for various operational needs. Data analysis, problem solving, investigation and creative thinking with massive amount of data supporting variety of operational scenarios and responsible for source code control using GitLab. Other duties as assigned. Qualifications
Bachelor's degree in science, Technology, Engineering, Mathematics, IT, or business-related programs 4+ years of experience in building data pipelines, integrating sources for use in dashboards, analytics, and compliance reporting. Cybersecurity certifications like CISSP, CISA, or CISM are desired Baseline and Full Computing Environment Certifications for IAT-II IAW DoD 8570.01-M (Security+ certification) desired Must have active Secret clearance with ability to obtain TS with SCI eligibility. Knowledge, Skills And Abilities
Experience in Python, SQL required Experience with cloud platforms like AWS, Microsoft Azure, etc. and migrating customers/projects to the cloud Experience working in Unix/Linux environment Experience with NoSQL database Experience working in cloud infrastructures Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) Understanding of cloud technologies (AWS, Azure, GCP, Oracle) and hybrid cloud environments Agile Scrum certifications desired Knowledge of CI/CD tools Experience with relational databases and BI tools like Power BI or BO Experience with Atlassian tools (Jira, Confluence) Experience extracting, transforming, and structuring data for exploratory analytics and operational reporting Strong visual storytelling skills and ability to deliver actionable insights Ability to work independently and in a team; ability to travel up to 10%
#J-18808-Ljbffr
Data Engineer role at Chenega MIOS SBU, Huntsville, AL. The Data Engineer builds data pipelines and integrates sources for use in dashboards, analytics, and compliance reporting. The Data Engineer ensures data is secured through testing, implementation, design, and monitoring. Responsibilities
Manage and coordinate with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms. Develop, maintain, evaluate, and test data solutions within an organization. Develop and execute plans, policies, and practices that control, protect, deliver, and enhance the value and integrity of the organization's data and information assets and programs. Collect, store, process, and analyze raw and/or complex data from multiple sources, recommend ways to apply the data, choose and design optimal data solutions, and build data processing systems, using expertise in data warehousing solutions and working with the latest database technologies. Maintain, implement, and monitor the quality of the data and information with the architecture used across the company; report on results and identify and recommend system application changes required to improve the quality of data in all applications. Investigate data quality problems, conduct analysis to determine root causes of problems, correct errors, and develop prototypes, process improvement plans across all programs, and proof of concepts for the selected solutions. Process unstructured data into a form suitable for analysis, followed by doing the analysis. Integrate innovations and algorithms into the organization's data systems, working closely with engineering team. Implement complex data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. Establish safety protocols to protect all data collected and used by the organization. Ensuring the compliance of policy, processes, and procedures throughout the day-to-day management of the organization. Work closely with the client to assist in managing data needs and supporting collection of data needed for various operational needs. Data analysis, problem solving, investigation and creative thinking with massive amount of data supporting variety of operational scenarios and responsible for source code control using GitLab. Other duties as assigned. Qualifications
Bachelor's degree in science, Technology, Engineering, Mathematics, IT, or business-related programs 4+ years of experience in building data pipelines, integrating sources for use in dashboards, analytics, and compliance reporting. Cybersecurity certifications like CISSP, CISA, or CISM are desired Baseline and Full Computing Environment Certifications for IAT-II IAW DoD 8570.01-M (Security+ certification) desired Must have active Secret clearance with ability to obtain TS with SCI eligibility. Knowledge, Skills And Abilities
Experience in Python, SQL required Experience with cloud platforms like AWS, Microsoft Azure, etc. and migrating customers/projects to the cloud Experience working in Unix/Linux environment Experience with NoSQL database Experience working in cloud infrastructures Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) Understanding of cloud technologies (AWS, Azure, GCP, Oracle) and hybrid cloud environments Agile Scrum certifications desired Knowledge of CI/CD tools Experience with relational databases and BI tools like Power BI or BO Experience with Atlassian tools (Jira, Confluence) Experience extracting, transforming, and structuring data for exploratory analytics and operational reporting Strong visual storytelling skills and ability to deliver actionable insights Ability to work independently and in a team; ability to travel up to 10%
#J-18808-Ljbffr