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Lead Data Engineer

1 month ago

McLean, United States MITRE Full time

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):

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

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.

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