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Closure Technologies

engineering opportunity

Data Engineer

The Data Engineer will design, implement, and optimize data systems for large-scale data ingestion and processing. They will also collaborate with data scientists to create data pipelines for AI/ML workflows.

Chantilly, Virginia, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Closure Technologies?

Closure Technologies is seeking a Data Engineer that will leverage their development skills and experience, to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant amounts of data. Clearance Requirement: TS/SCI with Polygraph

Key Responsibilities

  • Designing, implementing, and optimizing data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingest systems in a Big Data environment Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond Developing custom solutions/code to ingest and exploit new and existing data sources Developing data profiling, deduping logic, and matching logic for analysis Organizing and maintaining Data Layer documentation, so others are able to understand and use it.
  • Also, work closely with data scientists to craft data pipelines which serve the development of modern AI/ML workflows Collaborating with teammates, other service providers, vendors, and users to develop new and more efficient methods Effectively articulating the risks and constraints associated with software solutions, based on environment Required

Qualifications

  • 2+ years of relevant software development/programming experience.
  • Demonstrated data analysis, parsing, and programming language experience (e.g.
  • Python, Java) coupled with significant SQL/database experience.
  • Experience with the full data lifecycle, from ingest through display, in a Big Data environment.
  • Hands-on experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs.
  • Experience with data pipelining systems (e.g.
  • Apache Airflow) and developing/performing ETL tasks in a Linux environment.

Preferred Qualifications

  • Experience deploying systems that leverage AI/ML technology Experience publishing results in BI dashboards.

Which skills does this role require?

Data EngineeringData AnalysisPythonJavaSQLBig DataETLData PipelinesApache AirflowRESTful APIsData CleansingData TransformationDocumentationCollaborationSoftware DevelopmentData EngineerClosure TechnologiesData ExtractionData LoadingData LifecycleData ProfilingDeduping LogicMatching LogicData Layer DocumentationMachine LearningSoftware SolutionsJDKJ2EEEJBJDBCSpringLinuxREST APIsAirflow

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