Senior Data Engineer

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 (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 a Senior 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.

Roles and Responsibilities:

• Designing and building prototypes for ingesting, curating, and analyzing data at scale.
• Collecting and preparing data for use by data scientists and analysts.
• Supporting 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.
• Leading or supporting sponsor work conducted in a lab environment.

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 without experience; or equivalent combination of related education and work experience.
• Secret clearance is required.
• 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, including 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, and 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.

Preferred Qualifications:

• Master’s degree 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.
• Understanding 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): Secret

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. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster and Pay Transparency.

MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email

Copyright 2024, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.