Position Overview:
We are seeking a highly skilled and motivated Data Engineer to join our team at Scott Air Force Base, supporting the Defense Information Systems Agency (DISA). 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:

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

EOE M/F/DISABLED/Vet

Red River is an equal opportunity employer and makes employment decisions based on business needs, job requirements and individual qualifications, without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity or expression, marital status, age, family medical history or genetic information, disability, past or present military service, or any other characteristics protected under the laws applicable in the locations where Red River operates.  Red River will not tolerate discrimination or harassment based on any of these characteristics. 

Red River does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings or otherwise. Placement fees will not be paid to any recruiter unless Red River has an active agreement in place with the recruiter and such a request has been made by the Red River Talent Acquisition team and such candidate was submitted to the Red River Talent Acquisition Team via our Applicant Tracking System. Any unsolicited resumes or other data submitted to Red River in violation of this policy may be used by Red River without obligation to pay any fees of any kind to the recruiter.