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: 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 (https://www.altexsoft.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. 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