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. 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:Integrate large language models into production AI agent workflows - building structured-output pipelines with grounding, reference resolution, and evidence traceability.
Design and evolve APIs that serve risk Intelligence data to customers and external integrations.
Build and maintain data ingestion pipelines - owning the full lifecycle from extraction through loading and error handling.
Own reliability of async task processing systems — health monitoring, autoscaling, alerting, and incident response.
Build and maintain shared libraries and internal developer tooling that accelerate the entire engineering team.
Manage full service lifecycle — from standing up new services to decommissioning legacy ones.
4+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
4+ years of production Python experience - you write clean, testable, well-structured code.
Experience designing and building APIs (preferably GraphQL with Apollo Federation).
Experience in developing, maintaining, and ensuring the reliability, scalability, fault tolerance, and observability of data services in a production environment.
Have fundamental knowledge of data engineering techniques: ETL/ELT, batch and streaming, DWH, Data Lakes, distributed processing.
Comfortable with async Python patterns (asyncio, Celery, task queues).
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 stack:
Core: Python, Pandas, Polars, Celery, SQL (PostgreSQL), SQLAlchemy, Airflow, Docker, Kafka
AI/ML: OpenAI, Anthropic, Google Vertex AI, Pydantic (v2), Pydantic AI, MLflow
APIs: GraphQL (Strawberry)
AWS: S3, Batch, RDS, DynamoDB, ECS, SQS, DMS, Lambda
Infra & Ops: Terraform, Datadog
Experience with or strong interest in AI-native development workflows (we use Claude Code as a core part of how we build software - from building internal tooling skills to debugging production issues.
Option to work as a B2B contractor or full-time employee
Competitive salary at a well-funded, fast-growing startup
PTO days so you can take the time you need to refresh!
Full-time employees: 28 PTO days allotted + paid public holidays
B2B contractors: 15 PTO days allotted + paid public holidays
100% remote work (or hybrid if you prefer! We have coworking space in center of Warsaw.)
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!
#BI-Remote
Top Skills
What We Do
Craft illuminates the path to global supply chain resilience. We empower businesses to strengthen their supplier networks and supply chains with the industry's most trusted and comprehensive data fabric and advanced risk mitigation engine. Our easy-to-use platform provides 360-degree visibility to quickly explore and evaluate supplier networks, AI-driven insights to detect and mitigate disruptions, and collaborative tools to optimize supply chain strategies. With Craft, procurement and supply chain professionals can confidently navigate regulatory environments, uphold ethics, and drive business continuity. We are headquartered in San Francisco, CA where we assist commercial and governmental organizations worldwide in building more resilient supply chains.
Why Work With Us
Our shared mission is to help foster responsible and sustainable global supply chains, driving ethical practices, reducing environmental impact, and creating a brighter, more resilient global economy for all.
Gallery
