Data Engineer_

Mclean

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Department Summary:

MITRE is dedicated to solving problems that provide safety, security, and economic prosperity for all individuals and American businesses. MITRE 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 & 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.

+ Local travel to sponsor locations as required.

Basic Qualifications:

+ Typically requires a Bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.

+ 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 (ltexsoft.com/blog/best-bi-tools-comparison/)

+ 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 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.

+ 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.

+ NOAA Domain knowledge and experience.

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):

None

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 (eoc.gov/sites/default/files/2022-10/22-088\_EEOC\_KnowYourRights\_10\_20.pdf) and Pay Transparency (ol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp\_%20English\_formattedESQA508c.pdf) .

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