Senior Data Engineer
First seen by Alion on Sep 29, 2026.
About the Role:
We are looking for a highly motivated and independent Data Engineer to join our high-performance team. The ideal candidate should have at least 6 years of experience in data engineering and be capable of designing, developing, and maintaining scalable data pipelines. This role offers an excellent opportunity to work on modern data platforms and contribute to business-critical data solutions.
Key Responsibilities:
- Design, develop, and maintain ETL/ELT data pipelines.
- Build and optimize data models, data warehouses, and data integration solutions.
- Extract, transform, and load data from multiple structured and unstructured sources.
- Ensure data quality, integrity, security, and performance across data platforms.
- Collaborate with cross-functional teams including Data Analysts, BI Developers, and Software Engineers.
- Troubleshoot data issues and optimize existing workflows for efficiency.
- Prepare technical documentation and support production deployments.
Required Skills:
- Minimum 6 years of experience in Data Engineering, specifically working on AWS (Glue, Redshift).
- Strong knowledge of SQL and relational databases.
- Experience with Python for data processing and automation.
- Hands-on experience with ETL tools and data pipeline development.
- Understanding of Data Warehousing concepts and dimensional modelling.
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud is preferred.
- Familiarity with Apache Spark, Databricks, Airflow, or similar technologies is an advantage.
- Knowledge of version control tools such as Git.
Desired Candidate Profile:
- Self-driven and capable of working independently with minimal supervision.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Willingness to learn new technologies and work in a fast-paced, high-performance environment.
- A team player with a proactive attitude and ownership mindset.
Education:
- Bachelor's degree in Engineering (any discipline).
If you are passionate about building scalable data solutions and thrive in a challenging environment, we'd love to hear from you.
Skills
AWS, Data Engineering, SQL, Python, ETL, Data Pipeline, Data Warehousing, Data Modeling