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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 deliverablesDesigning and building prototypes for ingesting, curating, and analyzing data at scale.Collecting and preparing data for use by data scientists and analystsLeading stakeholder interviews to determine data requirements and define data flows.Documenting data transformation rules to meet the requirements for system interfaces and data integration projectsPerforming data profiling to identify quality gaps and determine if data is fit for use for its intended purposeResearching 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 requiredStrong developer skills using SQL and PythonHands-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 termsStrong knowledge of ETL/ELT processes, tools, and frameworksExperience with large scale data architectures.  Activities may include analysis of alternatives, technical product evaluations, requirements analysis, design, data systems prototyping, and process automationExperience building conceptual, logical, and physical data modelsKnowledge of cloud platforms and technologies such as Amazon Web Services, Microsoft Azure, and Google Cloud PlatformProficiency in one or more modern programming languages such as Python, R, Scala, C++, Java, C#, and JavaScriptData Engineering skills to include:Expertise in preparing data for analysisStrong understanding of data science conceptsExperience with BI toolsUnderstanding ML frameworks, algorithms, and librariesApplied mathematics: probability and statisticsStrong innovation, problem-solving, systems analysis, planning, organizational, and interpersonal skillsKnowledge of data management practices that align with modern/emerging analytics techniquesDesire 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 systemsExperience migrating legacy data systems to new/modernized platformsHands-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 meshUnderstand the use of data in AI/ML and LLMKnowledge and experience across data management domains, including data science, data governance, metadata management, data quality, business intelligence, data security & privacy, and data strategyExperience performing source to target data mappingKnowledge of natural language processing techniquesTS/SCI clearance

This requisition requires the candidate to have a minimum of the following clearance(s):

Top Secret

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Top Secret

Work Location Type:

Hybrid

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