Data Engineer
First seen by Alion on Jul 23, 2026.
Job Summary :
We are looking for an experienced Data Engineer with strong expertise in Python, AWS, Apache Airflow, and Amazon Redshift.
Key Responsibilities :
- Develop and maintain ETL/ELT processes and data pipelines.
- Design, build, and orchestrate data workflows using Apache Airflow.
- Work with AWS services to support data engineering and integration requirements.
- Develop and optimize data solutions using Python and SQL.
- Manage and support data storage and processing using Amazon Redshift.
- Implement data modeling concepts to support business and analytical requirements.
- Maintain and manage code repositories using version control systems such as Git.
- Collaborate with cross-functional teams to deliver data engineering solutions.
Required Skills & Experience :
- 5+ years of experience in Data Engineering.
- Strong hands-on experience in Python.
- Mandatory experience with AWS services.
- Good experience with Apache Airflow.
- Strong experience with Amazon Redshift.
- Experience in ETL/ELT development and data pipeline orchestration.
- Knowledge of SQL and data modeling concepts.
- Experience with Git or other version control systems.
Preferred Skills :
- Experience in Healthcare, Pharma, Life Sciences, or Clinical Data domains.
- Familiarity with CI/CD pipelines and Agile methodologies.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Skills
Data Engineering, ETL, Data Pipeline, Apache Airflow, AWS, Python, SQL, Data Modeling, Data Storage