Data Engineer

4 weeks ago

O'Fallon, Missouri, United States Red River Full time

Position Overview:

We are seeking a highly skilled and motivated Data Engineer to support the Defense Information Systems Agency (DISA) at Scott Air Force Base. The successful candidate will play a crucial role in designing, developing, and maintaining data infrastructure and pipelines to support the federation of structured and unstructured data across the DISA enterprise.

This position requires a deep understanding of data engineering principles, strong analytical skills, and the ability to work collaboratively in a fast-paced environment.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics requirements within the DISA enterprise.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions.
  • Implement data models, schemas, and database structures to ensure efficient data storage and retrieval.
  • Optimize and tune data processing workflows for performance and scalability.
  • Develop and maintain documentation for data engineering processes, workflows, and systems.
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to operations.
  • Support the integration of test use cases.

Qualifications:

  • Bachelor's degree in computer science, information technology, engineering, or a related field or equivalent experience.
  • Minimum of 8 years of experience in data engineering, data warehousing, or a related field.
  • Possess an active DoD Secret Clearance or equivalent.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Proficiency with SQL and database technologies (e.g., PostgreSQL, MySQL, Oracle).
  • Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity with data visualization tools (e.g., Kibana) and data analytics frameworks.
  • Knowledge of data governance, data quality, and data security best practices.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Knowledge of AI/ML techniques, including building and deploying models and algorithms within a data environment.
  • Certifications in relevant technologies (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).

Basic Qualifications:

  • U.S. Citizenship Required.

Red River offers a competitive salary, excellent benefits, and an exceptional work environment. If you are ready to join a growing company, please submit your resume and cover letter (optional).

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