We're growing quickly and looking to hire several senior-level data engineers for multiple teams. Each team is responsible for a key product within the organization. As a core member of the team, you will have great say in how solutions are engineered and delivered.
Craft gives engineers a lot of responsibility and authority, which is matched by our investment in their growth and development.
Our data engineers carry a lot of software engineering responsibilities, so we're looking for engineers who have strong Python coding experience, Pandas expertise, and solid software engineering practices.
- Extracting, analyzing and modeling rich and diverse datasets of structured and unstructured data.
- Keep track of emerging technologies and trends in the Data Engineering world, incorporating modern tooling and best practices at Craft.
- Work on extendable data processing systems that allows to add and scale pipelines.
- Apply machine learning techniques such as anomaly detection, clustering, regression classification, and summarization to extract value from our data sets.
- Leverage AI-powered development tools (e.g. Cursor) to accelerate development, refactoring, and code generation.
- Experience in developing, maintaining, and ensuring the reliability, scalability, fault tolerance, and observability of data pipelines in a production environment.
- Have fundamental knowledge of data engineering techniques: ETL/ELT, batch and streaming, DWH, Data Lakes, distributed processing.
- Strong knowledge of SDLC and solid software engineering practices.
- Demonstrated curiosity through asking questions, digging into new technologies, and always trying to grow.
- Strong problem solving and the ability to communicate ideas effectively.
- Familiarity with at least some of the technologies in our current tech stack:
- Python, PySpark, Pandas, SQL (PostgreSQL), ElasticSearch, Airflow, Docker
- Databricks, AWS (S3, Batch, Athena, RDS, DynamoDB, Glue, ECS, Amazon Neptune)
- Knowledge surrounding AI-assisted coding and experience with Cursor, Co-Pilot, or Codex
- A strong track record of leveraging AI IDEs like Cursor to:
- 99% covered health + dental + vision insurance for employees and dependents
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