Senior Data Engineer
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 2, 2026.
Join our team as a Senior Data Engineer, where you will be responsible for building and operating reliable, analytics-ready data systems that drive decision-making across the organization. You will develop a long-term technical vision for the team, design technical strategies, and mentor engineers. This hands-on role requires advanced SQL skills, experience in cloud environments, and a strong background in data engineering.
Missions
- Contribuer de manière significative aux pipelines de données clés et collaborer étroitement avec les parties prenantes de l'analyse.
- Développer une vision technique à long terme pour l'équipe et concevoir une stratégie technique pour développer des composants, des frameworks et des bibliothèques.
- Mentorer les ingénieurs, y compris les ingénieurs seniors et juniors de l'équipe, et améliorer et maintenir les normes d'excellence en ingénierie et opérationnelle.
Profil recherché
- Experience operating batch ELT pipelines and working with data warehouses- Advanced SQL skills and experience modeling data for analytics and reporting use cases
- Experience working in a cloud environment such as GCP (or equivalent)
- Familiarity with dbt or similar transformation tools, and comfort working closely with analytics teams
- Demonstrated ownership of production systems, including monitoring, debugging, and incident response
- 4+ years of experience in data engineering or closely related roles
- Comfort working in ambiguous environments and making pragmatic technical decisions
- Strong experience building and maintaining production data pipelines using Python
- Experience working in collaborative, iterative development environments
- Familiarity with CI/CD practices and source control (e.g., GitHub)
- Experience working with orchestration tools such as Airflow
- Hands-on experience integrating data from external APIs
- Designing or migrating pipelines toward incremental loading patterns
- Working with infrastructure-as-code tools (e.g., Terraform)
- Experience with data quality tooling, testing, or observability
- Exposure to BI tools or supporting analytics workflows
- Experience learning and adopting new tools or technologies quickly