Data/ETL Engineer
Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 2, 2026. Ascendion scores B on the Alion truth index.
We are seeking a skilled Data Engineer to design, build, and maintain scalable data solutions. The ideal candidate will develop efficient data pipelines, optimize data processing workflows, and support reliable data operations across the organization.
**Job Title**
Data Engineer.
**Responsibilities**
- Design, build, and maintain scalable data pipelines using tools such as Apache Spark, Kafka, and Airflow.
- Develop and optimize ETL and ELT processes to ingest data from structured and unstructured sources.
- Create and manage data models and data warehouses such as Snowflake, Redshift, and BigQuery.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Ensure data quality, security, and compliance with data governance policies.
- Monitor, troubleshoot, and optimize the performance of data systems.
- Automate manual data tasks and support data operations.
**Required Skills**
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 2+ years of experience in data engineering or a related field.
- Strong programming skills in Python, Scala, or Java.
- Proficiency in SQL and experience with relational and NoSQL databases such as PostgreSQL and MongoDB.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity with big data technologies such as Spark, Hadoop, and Kafka.
- Experience with data orchestration tools such as Apache Airflow or Prefect.
- Solid understanding of data modeling, data warehousing, and best practices in data architecture.
**Desirable Skills**
- Experience with containerization tools such as Docker and orchestration tools such as Kubernetes.
- Knowledge of CI/CD and DevOps practices for data pipelines.
- Exposure to machine learning pipelines and model deployment.
- Certification in cloud platforms or data engineering tools.
**Education Qualification**
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.