Junior Data Engineer
Summary
Builds and maintains scalable data pipelines using Databricks, dbt, AWS services, and Python/Java to support secure, mission-driven solutions for federal agencies.
About the Company
Capital Technology Group (CTG) provides expert consulting services in software development, digital transformation, human-centered design, data analytics, and cybersecurity. Recognized by The Washington Post as a Top Workplace, CTG partners with federal agencies to build secure, scalable, and mission-driven solutions.
Responsibilities
- Build and maintain scalable data pipelines and models using Databricks, dbt, and SQL
- Develop robust data solutions leveraging AWS services including Redshift, RDS, S3, Glue, Lambda, DMS, and CloudWatch
- Implement data transformations and integrations using Python and Java
- Implement infrastructure-as-code using Terraform
- Monitor and optimize system health and performance using CloudWatch and Splunk
- Mentor junior engineers and conduct code reviews
- Collaborate with cross-functional stakeholders in agile environments
Requirements
- US Citizenship required (must be able to obtain Public Trust clearance)
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 1+ years of professional experience in data engineering
- Deep expertise in Databricks
- Hands-on experience with AWS native services
- Proficiency in dbt, SQL (PostgreSQL), Python, and Java
- Experience with data pipelines, data modeling, and performance optimization
Preferred Qualifications
- Experience with Kafka for streaming and data pipelines
- Experience with Docker and Kubernetes
- Proficiency with Splunk for log aggregation
- Experience using Terraform for infrastructure automation
- Advanced SQL skills including performance tuning