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If this sounds like the choice you want to make, then choose MITRE—and make a difference with us. The Data Environments and Engineering Department (L146) in the Modeling & Analysis Innovation Center is seeking highly motivated, adaptive, and enthusiastic candidates with a wide variety of interests and a foundation of skills in systems engineering, software engineering, information systems, or data engineering to join our department as an Intermediate Data Engineer. Candidates should have a strong interest in addressing and solving challenges related to capturing, managing, and sharing data that support decision-making and enable mission processes.Roles and Responsibilities: Working with experienced project teams and under the guidance of data environments and engineering mentors, project tasks may include: + Developing data requirements documentation + Performing source-to-target data mappings + Documenting and implementing data transformation rules to meet the requirements for system interfaces and data integration projects + Collecting and integrating project data + Profiling project data sources + Preparing data and conducting data analysis + Designing and building prototypes for ingesting, curating, and analyzing data at scale. + Collecting and preparing data for use by data scientists and analysts + Migrating data to the Cloud + Supporting stakeholder interviews + Leading or supporting sponsor work conducted in a lab environment + Researching and evaluating data management tools and technologies + Participating in knowledge sharing and best practices through MITRE-led Technical Exchange Meetings (TEMs), workshops, research, and platform development Minimum Qualifications + Typically, it requires a Bachelor’s degree and a minimum of two years of related experience, an advanced degree without experience, or an equivalent combination of related education and work experience. + Bachelor’s degree in systems engineering, software engineering, information systems, or data management + Capable of obtaining and maintaining a DoD Secret clearance + Proficiency in one or more modern programming languages such as Python, R, Scala, C++, Java, C#, and JavaScript + Experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, MongoDB, Neo4j) + Working knowledge of ETL/ELT processes, tools, and frameworks + Strong problem-solving, systems thinking, planning, organizational and interpersonal skills + Excellent written and verbal communication skills with the ability to describe and present complex technical concepts in relatable terms + This position requires a minimum of 50% hybrid on-site Preferred Qualifications: + Interest in developing and applying data management and data engineering domain skills to organizational, system, and data sharing-related challenges and concerns + Knowledge of cloud platforms and technologies such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform. + Knowledge of data management practices that align with modern/emerging analytics techniques + Applying statistical analysis methods and tools + Familiarity with data flow and pipeline frameworks, like Kafka, NiFi, Spark, Airflow, and Hadoop. + Familiarity with microservice architectures, data warehousing, data fabric, data lakes, and data mesh + Data Engineering skills include: + Expertise in preparing data for analysis + Strong understanding of data science concepts + Experience with BI tools + Understanding ML frameworks, algorithms, and libraries + Understand the use of data in AI/ML and LLM + Understanding of conceptual, logical, and physical data modeling + Experience performing source-to-target data mapping + Knowledge of natural language processing techniques + Existing DoD clearance This requisition requires the candidate to have a minimum of the following clearance(s): None This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Secret Work Location Type: Hybrid MITRE is proud to be an equal opportunity employer. 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