Infrastructure Developer
7 days ago
We are seeking a highly skilled Data Engineer to design, develop, and maintain data infrastructure and pipelines to support the federation of structured and unstructured data across the DISA enterprise at Global Enterprise Services, LLC.
Main Responsibilities:
- Develop scalable data pipelines and ETL processes to meet data integration and analytics requirements within the DISA enterprise.
- Collaborate with data scientists, analysts, and other stakeholders to deliver high-quality data solutions.
- Implement data models, schemas, and database structures for efficient data storage and retrieval.
- Optimize and tune data processing workflows for performance and scalability.
Requirements:
- Bachelor's degree in computer science, information technology, or a related field, or equivalent experience.
- Minimum 8 years of experience in data engineering, data warehousing, or a related field.
- Active DoD Secret Clearance or equivalent required.
- 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 ability to work independently and as part of a team.
- Strong communication and interpersonal skills, conveying complex technical concepts to non-technical stakeholders.
Salary Estimate: $120,000 - $180,000 per year, based on location and industry standards.
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