Senior Data Engineer
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 10, 2026.
Join Clutch, a company at the forefront of AI advancements in product development. As a Senior Data Engineer, you will own the data platform that drives decision-making across the organization. You will design and evolve the architecture behind our data warehouse, pipelines, and data models, ensuring long-term scalability. You will also build reliable ELT pipelines, design data models, and own data quality and observability. This role offers autonomy, competitive pay, generous time off, and health benefits.
Missions
- Posséder la plateforme de données de Clutch de bout en bout, concevoir et faire évoluer l'architecture derrière notre entrepôt, nos pipelines et nos modèles de données.
- Construire des pipelines ELT fiables et bien testés qui rassemblent des données provenant de nos applications, systèmes opérationnels et outils tiers.
- Collaborer avec les analystes et les scientifiques des données pour concevoir des modèles de données afin que des données fiables et bien structurées soient faciles à trouver et à utiliser.
Profil recherché
- Experience with cloud platforms, ideally AWS, and their data services- Enjoy working directly with stakeholders to understand problems and deliver business value
- Care as much about business outcomes as technical excellence
- Experience with DevOps and observability tooling such as Git, GitHub Actions, Docker, Terraform, and Datadog
- Communicate clearly and are comfortable making decisions in ambiguous environments
- Use AI as a force multiplier to explore ideas, prototype solutions, and accelerate development
- 5+ years of experience in data engineering or a closely related field
- Our data team builds with technologies like Snowflake, dbt, Airflow, Python, and AWS, alongside an application stack of TypeScript, PostgreSQL, and Express. We're far more interested in exceptional engineers than perfect technology matches. If you've built outstanding data platforms in another modern stack and are excited to learn, improve, and help evolve ours, we'd love to talk
- Hands-on experience with a modern cloud data warehouse such as Snowflake, BigQuery, or Redshift
- Strong data modeling skills, including designing for analytics use cases
- Experience with transformation and orchestration tools such as dbt and Airflow
- Advanced SQL and strong programming skills in Python (TypeScript is a plus)
- Have built and operated production data pipelines and platforms that people rely on
- Experience with streaming or event-driven data (e.g., Kafka, Kinesis)
- Experience in e-commerce, marketplaces, automotive, or fintech
- Experience supporting data science or ML workflows in production