Data Ingestion and Analytics Expert

3 weeks ago


Herndon, Virginia, United States RTX Full time
About RTX

RTX is a leading provider of technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet the most demanding challenges of the U.S. government and its partners. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. With over four decades of experience, we bring disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.

Job Overview

We are seeking a skilled Database Developer to join our team in support of a multifaceted global software deployment project. The ideal candidate will have extensive experience in working with large data sets and high-performance compute clusters, as well as expertise in AWS cloud services, Databricks, and Apache NiFi. The selected individual will play a critical role in designing and implementing efficient data ingest processes and ensuring proper access controls.

Responsibilities
  • Designing and implementing efficient data ingest processes.
  • Working with cross-functional teams to develop and deploy ETL processes.
  • Collaborating with data scientists and analysts to analyze new large-volume datasets.
  • Developing software tools for efficient data processing and loading.
  • Maintaining accurate documentation of data-flows according to standards set by Sponsor.
Requirements
  1. Demonstrated professional experience in Computer Science, Computer Engineering, Systems Engineering, or closely related discipline.
  2. Demonstrated professional experience with AWS cloud services, including long-term storage options, and cloud-based database services.
  3. Demonstrated experience working with Databricks.
  4. Demonstrated experience understanding SQL database structures and mapping them between different SQL databases.
  5. Demonstrated professional experience working with Apache NiFi.
  6. Demonstrated professional experience working with large data and high performance compute clusters such as Hadoop or similar.
  7. Demonstrated experience with API development techniques.
  8. Demonstrated experience developing and deploying ETL processes for large data sets.
  9. Demonstrated experience creating operating system level scripts to perform ETL operations on SQL databases.
  10. Demonstrated professional experience with version control systems, preferably Git.
  11. Demonstrated experience testing the development of software solutions for extraction, transformation, and loading of data using efficient languages like NiFi, Python, and SQL.
  12. Demonstrated experience implementing multiprocessing data-flows to parallelize ingest operations.
  13. Demonstrated experience exhibiting strong coordination and collaboration skills.
  14. Demonstrated experience working with full-stack developers to deploy applications that leverage large data sets.
  15. Demonstrated experience communicating technical concepts to non-technical audiences.
Benefits

We offer a competitive salary range of $96,000 - $200,000 per year, depending on experience level. Additionally, we provide a comprehensive benefits package, including medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Successful candidates may also be eligible for annual short-term and/or long-term incentive compensation programs.


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