Data Engineer

Data Engineer

Huntsville, AL

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Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer’s core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large‑scale government operations by leveraging cutting‑edge technology and take your career to the next level!

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.

• 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 valuable 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.
• Ensure 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 Git Lab.
• Other duties as assigned.

• High school diploma or GED equivalent.
• Bachelor’s degree in science, technology, engineering, mathematics, IT, or business‑related programs preferred. Additional years of work experience may be used in lieu of a degree.
• 4+ years of experience in building data pipelines, integrating sources for use in dashboards, analytics, and compliance reporting.
• Cybersecurity certifications such as 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 an active Secret clearance with the ability to obtain TS with SCI eligibility.

• Experience in Python, SQL required.
• Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, etc., and migrating customers/projects to the cloud.
• Experience working in Unix/Linux environments.
• Experience with database query tuning and other performance enhancement methodology is a plus.
• Experience with No
  
  SQL databases.
• Experience working with cloud infrastructures.
• High proficiency in the Microsoft Office suite and advanced skills in Word, Excel, PowerPoint, and Outlook.
• Understanding of cloud technologies (AWS, Azure, GCP, Oracle) and…