Data Engineer
First seen by Alion on Sep 22, 2026.
Role Overview:
We are looking for a Data Engineer with strong experience in SSIS, SQL, Python, statistical modeling, forecasting/ML, and FastAPI backend development.
Key Responsibilities:
- Design and maintain ETL/ELT pipelines using SSIS.
- Develop complex SQL queries, stored procedures, and data transformations.
- Perform data cleaning, EDA, statistical analysis, and statistical modeling.
- Develop forecasting and Machine Learning models for business use cases.
- Perform feature engineering, model training, validation, and performance evaluation.
- Build scalable Python/FastAPI REST APIs for data and ML applications.
- Integrate APIs with databases, data pipelines, and ML models.
- Optimize ETL pipelines, SQL queries, APIs, and ML workflows for performance.
- Implement data quality checks, monitoring, logging, and error handling.
- Collaborate with Data Scientists, Backend Engineers, and business teams.
Required Skills:
- 3 - 6 years of experience in Data Engineering/Data & ML Engineering.
- Strong hands-on experience with SSIS and SQL Server.
- Strong Python programming skills.
- Hands-on experience with FastAPI and REST APIs.
- Experience in statistical modeling, forecasting, and ML modeling.
- Good knowledge of Pandas, NumPy, Scikit-learn, and Statsmodels.
- Strong understanding of ETL, data pipelines, data quality, and database concepts.
- Experience with Git/version control.
- Good to Have: Azure/AWS, Docker, CI/CD, MLflow, Power BI/Tableau.
Skills
SSIS, Python, FastAPI, SQL, Pandas, Numpy, Scikit-Learn, ETL, Data Engineering, Data Pipeline