About Craft:

Craft is the leader in supplier risk 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 insight 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.

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 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 Senior Data Engineer to join our DISCoE team (aka our data platform team), which is the team responsible for defining and implementing standards for data storage in Databricks using a medallion architecture, defining patterns for interacting with our data, using automation methods to track and monitor all data, and creating tools for data operations. All to power our supplier risk management products and services.

The DISCoE team is growing and covering areas of the business that in the past were afterthoughts. DISCoE’s mission is to make our data a first class citizen of the business from sourcing and ingestion to structure and consumption.

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:

• Building and optimizing data pipelines (batch and streaming).

• Extracting, analyzing and modeling of rich and diverse datasets.

• Designing 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.

• Applying machine learning techniques such as anomaly detection, clustering, regression classification, summarization to extract value from our data sets.

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.

• Knowledge of and experience with Amazon Web Services (AWS) and Databricks.

• Familiar with infrastructure-as-code approach.

• Shows curiosity through asking questions, digging into new technologies, and always trying to grow.

• Kind and empathetic with your teammates and others.

• Strong problem solving and the ability to communicate ideas effectively.

• Self-starter, independent, likes to take initiative.

• Familiarity with at least some technologies in our current tech stack:

  • Python, PySpark, Pandas, SQL (PostgreSQL), Airflow, Docker

  • Databricks & AWS (S3, Batch, Athena, RDS, DynamoDB, Glue, ECS)

  • CircleCI, GitHub, Terraform

What We Offer:

• Competitive salary starting at $160,000 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 + v