Senior Data Engineer

3 hours ago

Bloomington, Illinois, United States The MITRE Corporation Full time

About the Role:

MITRE is seeking a highly motivated and experienced Senior Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for designing and building prototypes for ingesting, curating, and analyzing data at scale. You will work with experienced project teams and data management experts to collect and prepare data for use by data scientists and analysts. You will also support stakeholder interviews to determine data requirements and define data flows.

Key Responsibilities:

  • 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
  • Leading or supporting sponsor work conducted in a lab environment

Requirements:

  • Typically requires a 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
  • Secret clearance is 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
  • 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

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
  • 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

Work Location Type:

Hybrid

MITRE is proud to be an equal opportunity employer. We recruit, employ, train, compensate, and promote 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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