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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 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 MITRE is proud to be an equal opportunity employer. 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