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Within MITRE’s Intelligence Center, the Adversary Intelligence Department has the mission to provide deep technical and regional analysis on emerging threats to the United States and its interests in support of USG policy, strategy, integrated capabilities, test & evaluation, and resource investments. Our vision is to enable national security policymakers to anticipate and prepare for future adversarial threats by revolutionizing intelligence analysis and capabilities, empowering them to see beyond the horizon and confidently navigate emerging national and global challenges. The Department is accountable and responsible for programs with the Office of the Director of National Intelligence (ODNI) and the Defense Intelligence Agency (DIA).

Roles & Responsibilities:

The Adversary Intelligence Department harnesses the power of advanced tools and innovative techniques to address complex challenges faced by the US government. You will have the opportunity to collaborate with experienced IT professionals in a vibrant and dynamic setting, making a substantial contribution to resolving some of the government's most intricate issues. 

In this role, you will collaborate with a dynamic team and will play a critical role in designing, developing, and maintaining our data infrastructure. This position will focus on ETL processes and data flow creation to ensure seamless data integration and availability for analytics and business intelligence. The ideal candidate will have a strong background in data engineering, with a passion for optimizing data systems and building scalable solutions. You will be part of a MITRE team developing and designing scalable and efficient data pipelines utilizing ETL, extracting data from various sources, transforming it into usable formats, and loading it into storage systems or warehouses.

You should possess a genuine passion for developing comprehensive end-to-end solutions that address real-world challenges, coupled with an innate curiosity and a natural inclination for tackling complex problems, even when faced with open-ended tasks. Your enthusiasm for innovation and problem-solving will be key to your success in this role. 

This is an opportunity for you to expand your technical skills while contributing to a distinctive project with cross-cutting Intelligence Community and greater national security enterprise impact. This position requires initiative, creativity, and a proactive approach to problem-solving, as you will be at the forefront of developing solutions that have significant implications for national security.

As a Data Engineer, you will:

Collaborate with a diverse range of government sponsors to understand their challenges, assess potential solutions.Design, develop, and maintain efficient ETL processes to extract, transform, and load data from various sources into our data warehouse.Create and manage data flows to ensure data is accurate, timely, and accessible for analytics and reporting purposes.Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions that meet business needs.Optimize and improve existing data pipelines for performance, reliability, and scalability.Implement data quality checks and validation processes to ensure data integrity.Develop and maintain documentation for data processes, data flows, and data models.Monitor and troubleshoot data issues, providing timely resolutions to ensure minimal disruption to data operations.Stay current with industry trends and best practices in data engineering and ETL technologies

Basic Qualifications:

Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.Active TS/SCI with a FS poly.Proven experience as a Data Engineer or similar roleProficiency in ETL tools such as Apache NiFi, Informatica, or similar.Strong experience with SQL and database technologies (e.g., MySQL, PostgreSQL, Oracle).Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus.Knowledge of code repository tools and IDEs.This position has an on-site requirement of 5 days a week on-site.

Preferred Qualifications:

5 years of experience in a technical arena and minimum of 2 years in a data engineering or similar role.Experience with data modeling and data warehousing concepts.Knowledge of programming languages such as Python, Java, or Scala.Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.Experience with version control systems such as Git.Strong problem-solving skills and attention to detail.Excellent communication and collaboration skills.

This requisition requires the candidate to have a minimum of the following clearance(s):

Top Secret/SCI/Polygraph

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Top Secret/SCI/Polygraph

Work Location Type:

Onsite

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