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: 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:
Typically requires a minimum of 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 experience.
Top Secret clearance 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. 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 (https://www.altexsoft.com/blog/best-bi-tools-comparison/)
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
TS/SCI clearance
This requisition requires the candidate to have a minimum of the following clearance(s):
Top SecretThis requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Top SecretWork Location Type:HybridMITRE 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 (https://www.eeoc.gov/sites/default/files/2022-10/22-088EEOCKnowYourRights1020.pdf) and Pay Transparency (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf) . 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 recruitinghelp@mitre.org . 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.Benefits information may be found here (https://careers.mitre.org/us/en/benefits)
