Data Engineer (US)

About Craft: Craft is the leader in supplier intelligence, enabling enterprises to discover, evaluate, and continuously monitor their suppliers at scale. Our unique, proprietary data platform tracks real-time signals on millions of companies globally, delivering best-in-class monitoring and insights into global supply chains. Our customers include Fortune 500 companies, government agencies, SMEs, and global service platforms. Through our configurable Software-as-a-Service portal, our customers can monitor any company they work with and execute critical actions in real-time. We’ve developed distribution partnerships with some of the largest integrators and software platforms globally. Craft’s open supplier profiles appear in over 100 million organic search results each month, driving over 2 million monthly active users on our website with zero marketing spend. We are a high-growth technology company backed by top-tier investors in Silicon Valley and Europe, headquartered in San Francisco with hubs in Seattle and London. We support remote and hybrid work, with team members across North America, Canada, and Europe. We're looking for innovative and driven people passionate about building the future of Enterprise Intelligence to join our growing team!

About the Role: Craft is looking for an experienced and motivated Data Engineer to join our team. At Craft, you will be a core member of one of our feature teams, building data products and solutions that drive our innovation in Supply Chain Risk Management. At Craft, we give our engineers a lot of responsibility, autonomy, and ownership of their domain areas. This is matched by our investment in your growth and development, both in working with smart and experienced colleagues and in taking advantage of hackathons, conferences, and our internal tech chapters. We are growing quickly, and the only limits to your future growth with Craft are your interests and abilities! This is a remote role, but we have a strong preference for candidates based in Eastern or Central time zones due to the current team members’ time zones.

What You’ll Do:

• Build and optimize data pipelines (batch and streaming).
• Extract, analyze, and model rich and diverse datasets.
• Design software that is easily testable and maintainable.
• Support in setting data strategies and vision.
• Keep track of emerging technologies and trends, incorporating modern tooling and best practices.
• Work on extendable data processing systems that allow adding and scaling pipelines.
• Apply machine learning techniques such as anomaly detection, clustering, regression classification, and summarization to extract value from datasets.

Who You Are:

• 2+ years of experience in Data Engineering and with Python.
• Experience in developing, maintaining, and ensuring the reliability, scalability, and fault tolerance of data pipelines in a production environment.
• Fundamental knowledge of data engineering techniques: ETL/ELT, batch and streaming, DWH, Data Lakes, distributed processing.
• Knowledge and experience of Amazon Web Services (AWS) and Databricks (nice to have).
• Familiar with infrastructure-as-code approach.
• Curious, always asking questions and digging into new technologies.
• Kind, empathetic, and a strong communicator with problem-solving skills.
• Self-starter, independent, and likes to take initiative.

Our current technology stack (experience with all technologies not required): Python, PySpark, Pandas, SQL (PostgreSQL), Airflow, Docker, Databricks & AWS (S3, Batch, Athena, RDS, DynamoDB, Glue, ECS), Terraform.

What We Offer:

• Competitive salary starting at $150,000 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.
• 99% covered health, dental, and vision insurance for employees and dependents.
• 401K through Empower with options to invest how you want.
• $200 monthly wellness/learning stipend (gym memberships, meals, snacks, books, classes, conferences, etc.).

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!