Data Engineer
First seen by Alion on Oct 16, 2026.
About the Role:
We are looking for a Mid-Level Data Engineer with 2 - 5 years of experience to develop and maintain scalable, secure, and reliable data solutions. The ideal candidate should have experience in Python, data engineering, cloud platforms, and DevOps practices.
Responsibilities:
- Write clean, efficient, reusable, and testable Python code.
- Develop backend APIs using FastAPI or Django/Django REST Framework.
- Build, maintain, and optimize ETL/ELT pipelines using Python.
- Work with SQL and NoSQL databases.
- Troubleshoot issues and optimize application and pipeline performance.
- Participate in code reviews and maintain technical documentation.
- Work with Linux environments and understand system design fundamentals.
- Develop batch and streaming data workflows, data ingestion pipelines, and data transformation processes.
- Understand data modeling and data warehousing concepts.
Tech Stack:
- AWS: S3, Lambda, Glue, Athena, RDS, ECS, CloudWatch.
- GCP: Cloud Storage, Cloud Functions, Dataflow, BigQuery, Pub/Sub, Cloud Run.
DevOps Skills:
- CI/CD tools: GitHub Actions, Jenkins, AWS CodeBuild, or Cloud Build.
- Docker and container-based development and deployment.
- Infrastructure as Code: Terraform or CloudFormation.
- Familiarity with monitoring, logging, and alerting systems.
Desirable Skills:
- Test-driven development and automated testing.
- Experience with Grafana or CloudWatch dashboards.
- Exposure to digital signage or marketing platforms.
Skills
Data Engineering, Python, AWS, FastAPI, Django, ETL, SQL, NoSQL, Google Cloud Platform