Senior Data Engineer

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MITRE's Data and Human-Centered Solutions Innovation Center is a corporate resource with technical and data management capabilities, social computing, data science, data engineering, geospatial analytic solutions, and social and behavioral sciences. We provide data and human-centered solutions to meet the most critical mission challenges of MITRE's sponsors and stakeholders across the government.

The Data Environments and Engineering Department will provide you with challenging opportunities to expand your experience and knowledge to solve our nation's most critical data problems. We are looking for 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.

We are seeking candidates that 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 under the guidance of data management mentors, you will:

• 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.
• Lead or supporting sponsor work conducted in a lab environment.

Minimum Qualifications:

• Minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent combination of related education and work experience.
• Must be capable of obtaining and maintaining a DoD clearance.
• Strong developer skills using SQL and Python.
• Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, 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 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.
• Strong problem-solving, systems analysis, planning, organizational, and interpersonal skills.
• Desire to learn new techniques and approaches leveraging structured educational content, personal research, and outreach to subject matter experts across the corporation.

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.
• Proficiency in Java, R, Scala, or C++.
• Familiarity with microservice architectures, data warehousing, data fabric, data lakes, and data mesh.
• Knowledge and experience across data management domains such as: data science, data governance, metadata management, data quality, business intelligence, data security, and data strategy.
• Experience performing source to target data mapping.

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

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