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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 (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

  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 (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) and Pay Transparency (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf) .

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