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The MITRE Corporation Senior Data Engineer in Bedford, Massachusetts

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 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

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

  • 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:

  • Bachelor’s degree and 5 years of related experience.

  • Be able to obtain and maintaining a DoD 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

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

  • 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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