CACI has an immediate opening for a Mid-Level Data Engineer providing support/services to United States Fleet Forces Command (USFFC) N41 under the Naval Forces Logistics (NFL) II contract at Naval Station Norfolk. As a Data Engineer, you will be responsible for building, optimizing, and maintaining the data infrastructure and pipelines that power critical logistics analysis and decision-making.
Requirements
- Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
- Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).
- Experience with ETL tools and frameworks (e.g., Lakeflow).
- Proficient with one or more programming languages (Python, Java, Scala) for data manipulation and automation.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data engineering services.
- Familiarity with data modeling techniques (e.g., Kimball, Inmon).
- Working knowledge of QLIK Sense (or similar data visualization tool like Tableau), and Databricks a plus.
Responsibilities
- Design, develop, and maintain robust and scalable data pipelines to ingest, transform, and load data from diverse sources into a centralized data platform (e.g., data warehouse, data lake).
- Implement and optimize ETL (Extract, Transform, Load) processes using industry best practices for data quality, reliability, and performance.
- Collaborate with data scientists, data analysts, and stakeholders to understand data requirements and translate them into effective data solutions.
- Develop and maintain data models that support efficient querying and analysis.
- Monitor data pipelines for performance issues and implement solutions to ensure data availability and accuracy.
- Implement data quality checks and validation procedures to ensure data integrity.
- Troubleshoot and resolve data-related issues, including data pipeline failures, data quality problems, and performance bottlenecks.
Other
- DOD Secret clearance - Must be Current.
- Bachelor's degree in Computer Science, Data Engineering, or a related technical field.
- 3+ years of experience in data engineering, with a focus on building and maintaining data pipelines.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and collaboration skills.
