Sr. Data Platform Engineer (US)

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).
• Extract, analyze, and model 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.
• Leverage machine learning techniques such as anomaly detection, clustering, regression classification, and summarization to extract value from our data sets.
• 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, DockerDatabricks, AWS (S3, Batch, Athena, RDS, DynamoDB, Glue, ECS, Amazon Neptune)CircleCI, GitHub, TerraformKnowledge surrounding AI-assisted coding and experience with Cursor, Co-Pilot, or Codex

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