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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

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