Job Abstract

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.

Department Summary:

The Data Environments and Engineering Department (L176) in the Data and Human Centered Solutions 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 a Lead Data Engineer. Candidates should have a strong interest in addressing and solving challenges related to capturing, managing, and sharing data supporting decision making and enabling mission processes.

Job Description:

Roles and Responsibilities

Working with experienced project teams and data management experts, project tasks may include:

• Leading the development of high quality, high velocity contributions to sponsor challenges and deliverables
• Designing and building prototypes for ingesting, curating, and analyzing data at scale.
• Collecting and preparing data for use by data scientists and analysts
• Leading stakeholder interviews to determine data requirements and define data flows.
• Documenting data transformation rules to meet the requirements for system interfaces and data integration projects
• Performing data profiling to identify quality gaps and determine if data is fit for use for its intended purpose
• Researching and evaluating data engineering tools and technologies

Basic Qualifications:

• 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent combination of related education and work
•  Capable of obtaining and maintaining a DoD secret clearance
• Strong developer skills using SQL and Python
• Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra)
• Excellent written and verbal communications skills with ability to describe and present complex technical concepts in relatable terms
• Strong knowledge of ETL/ELT processes, tools, and frameworks
• Experience with large scale data architectures.  Activities may include analysis of alternatives, technical product evaluations, requirements analysis, design, data systems prototyping, and process automation.
• Experience building conceptual, logical, and physical data models
• Knowledge of cloud platforms and technologies such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
• Proficiency in one or more modern programming languages such as Python, R, Scala, C++, Java, C#, and JavaScript
• Data Engineering skills to include:
  • Expertise in preparing data for analysis
  • Strong understanding of data science concepts
  • Experience with BI tools
  • Understanding ML frameworks, algorithms, and libraries
• Applied mathematics: probability and statistics
• Strong innovation, problem-solving, systems analysis, planning, organizational, and interpersonal skills
• Knowledge of data management practices that align with modern/emerging analytics techniques
• Desire to continuously learn new techniques and evolve approaches by regularly engaging in structured educational pursuits, personal research, and outreach to subject matter experts across the corporation
• This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

• Master’s degree or PhD in computer science, data science, systems engineering, software engineering, or information systems
• Experience migrating legacy data systems to new/modernized platforms
• Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop.
• Familiarity with microservice architectures, data warehousing, data fabric, data lakes, and data mesh
• Understand the use of data in AI/ML and LLM
• Knowledge and experience across data management domains, including data science, data governance, metadata management, data quality, business intelligence, data security & privacy, and data strategy
• Experience performing source to target data mapping
• Knowledge of natural language processing techniques

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

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

Work Location Type:

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