About the Role: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.
What You'll Do:- Build and optimize data pipelines (batch and streaming).
- Extracting, analyzing and modeling rich and diverse datasets of structured and unstructured data.
- Design software that is easily testable and maintainable.
- Support in setting data strategies and our vision.
- 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.
Who You Are:- 4+ years of experience in Data Engineering.
- 4+ years of experience with Python.
- 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.
- Familiar with infrastructure-as-code approach.
- Demonstrated curiosity through asking questions, digging into new technologies, and always trying to grow.
- Strong problem solving and the ability to communicate ideas effectively.
- Self-starter, independent, likes to take initiative.
- 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)
- CircleCI, GitHub, Terraform
- Knowledge surrounding AI-assisted coding and experience with Cursor, Co-Pilot, or Codex
- A strong track record of leveraging AI IDEs like Cursor to:
- Rapidly scaffold components and APIs
- Refactor legacy codebases efficiently
- Reduce context-switching and accelerate documentation
- Experiment and prototype with near-instant feedback
What We Offer:- Competitive salary starting at $170,000 USD/ year. This starting number can be increased based on levels of expertise, location, cost of living, taxes, market experience, etc.
- Equity at a well-funded, fast-growing startup
- Unlimited vacation time so you can take what you need, when you need it
- 99% covered health + dental + vision insurance for employees and dependents
- 401K through Empower with options to invest how you want it
