Job description

ABOUT CRAFT: Craft is the leader in supplier risk intelligence, enabling enterprises to discover, evaluate, and continuously monitor their suppliers at scale. Our AI research and monitoring agents deliver real, actionable intelligence, by operating on top of our unique, proprietary data platform - this helps our customers make better, more informed decisions for their business, faster and strategically secure critical supply chains from risk. Our customers include Fortune 500 companies, government agencies, and global service platforms. We’ve developed distribution partnerships with some of the largest integrators and software platforms globally. We are a post-Series B high-growth technology company backed by top-tier investors in Silicon Valley and Europe, headquartered in San Francisco with hubs in Seattle and Warsaw. We support remote and hybrid work, with team members across North America and Europe. We are looking for innovative and driven people passionate about building the future of Enterprise Intelligence to join our growing team! 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 A NOTE TO CANDIDATES: We are an equal opportunity employer who values and encourages diversity, equity and belonging at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, caste, or disability status. Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Craft, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!

Requirements

Must-haves

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.
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.
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:

Nice-to-haves

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Application prep

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Keywords to mirror

aipythonmachine learningsqldockeraws

Platform: ashby
Effort: quick

Benefits

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Dental

Vision

401k