Job Summary
Data Engineer - SC Cleared
1 Year - Fully Remote
SC Cleared Data Curation – Data Engineer
We are looking for experienced candidates in AWS services with a strong Data Engineer background, working on large scale projects.
You'll need current, transferable SC clearance, must not be lapsed
Key Responsibilities
- Develop, maintain, and optimize ETL pipelines using AWS Glue (Informatica will be beneficial)
- Build and manage cloud‑based data pipelines leveraging AWS services (e.g., EMR, S3, Lambda, Glue).
- Implement scalable data processing workflows using Databricks, PySpark, Python, and SQL.
- Design and support data ingestion, transformation, and integration processes across structured and unstructured data sources.
- Collaborate with data architects, analysts, and business stakeholders to understand requirements and deliver reliable data solutions.
- Monitor pipeline performance, troubleshoot issues, and ensure data quality and reliability.
- Contribute to best practices for data engineering, including version control, CI/CD, and automation.
Required Skills & Qualifications
- Strong hands‑on experience with ETL development and orchestration (AWS).
- Solid AWS cloud experience, including working with core data services.
- Expertise in building distributed data pipelines using EMR, PySpark, or similar technologies.
- Strong data processing and transformation experience across large datasets.
- Proficiency in PySpark, Python, and SQL for data manipulation and automation.
- Understanding of data modelling, data warehousing concepts, and performance optimization.
- Familiarity with CI/CD tools (DevOps, GitHub, GitLab).
- Exposure to data governance, metadata management, and data quality frameworks.
- Experience working in Agile environments is a plus
