Senior Data Engineer
First seen by Alion on Sep 17, 2026.
Basic Qualifications:
- 5+ years of relevant data engineering experience.
- Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
- Good understanding of SQL Engines and able to conduct advanced performance tuning.
- Ability to think strategically, analyze and interpret market and consumer information.
- Strong communication skills - written and verbal presentations.
- Excellent conceptual and analytical reasoning competencies.
- Comfortable working in a fast-paced and highly collaborative environment.
- Familiarity with Agile Scrum principles and ceremonies.
Preferred Qualifications:
- 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.
- 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.
- 1+ years of experience programming languages (e.g. Python, Pyspark), preferred.
- 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred.
- Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.
Required Education:
- Bachelor's Degree in computer science, information systems, or related field or equivalent work experience.
Skills
Data Engineering, Data Modeling, SQL, Python, PySpark, Apache Airflow, Data Warehousing, Snowflake DB, Big Data