About Craft:
Craft is the leader in supplier intelligence, enabling enterprises to discover, evaluate and continuously monitor their suppliers at global scale. Our unique, proprietary data platform tracks real-time signals on millions of companies globally, delivering best in class monitoring and insight into the global supplier network.
We are a well funded high-growth technology company, backed by top tier venture capital investors in Silicon Valley and Europe, including Greycroft, High Alpha, Uncork Capital, Sam Palmisano, BAM Elevate, Frederic Kerrest and others. The Craft team is headquartered in San Francisco with office hubs in Seattle and London. We fully support virtual and hybrid work, and have team members across the United States, Canada, and Europe. We are looking for innovative and driven people who are passionate about reimagining enterprise intelligence, procurement and supply chain to build a sustainable future.
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.
About the Role:
Craft is looking for an experienced and motivated Lead Senior Data Engineer to join the key team responsible for data ingestion and integration with data partners. Data is the foundation upon which everything is built. As a technical leader you will have a great say in how solutions are engineered and delivered, and will help mentor engineers on the team.
Craft gives engineers a lot of responsibility, which is matched by our investment in their growth and development. We are growing quickly, and the only limits to your future growth with Craft are your interests and abilities.
What You'll Do:
- Building and optimizing data pipelines (batch & streaming) for big data systems.
- Extracting, Analyzing and Modeling of rich & diverse data sets.
- Applying Data mining to techniques such as anomaly detection, clustering, regression, classification, summarization to extract value from our data sets.
- Designing software that is easily testable and maintainable
- Ensuring data analysis is in line with company policies and regulations.
- Strong problem solving and the ability to communicate ideas effectively.
- Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions
- Work on extendable data processing system that allows to add and scale pipelines with low-code approach
Who You Are:
- People that show curiosity through asking questions, digging into new technologies, and always trying to grow
- 5+ years of experience in Data Engineering
- 5+ years of experience with Python
- Knowledge and experience of Amazon Web Services (AWS).
- Experience using Terraform or other infrastructure-as-code tools.
- Self-starter, independent, likes to take initiative.
- Have fundamental and deep knowledge of data engineering techniques: ETL (Batch & Streaming), Data Warehouse, Data Lakes, MPP
- Data analytical and statistical background would be a large plus
Our Tech Stack:
- AWS Services: S3, Batch, Athena, Lambda, Kinesis, Kafka, Redshift, RDS / Aurora Postgres, DynamoDB
- Data Pipelines: Python, SQL, Pandas, Dask, aws-data-wrangler, Papermill, Airflow, Prefect
What We Offer:
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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.
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Equity at a well-funded, fast-growing startup
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Unlimited Vacation time so you can take what you need, when you need it
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99% Covered Health + Dental + Vision insurance for employees and dependents
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401K through Human Interest with options to invest how you want it
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$200 Monthly Wellness/Learning stipend (Gym memberships, meals, snacks, books, classes, conferences, etc.)
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$1,000 Workstation Allowance (standing desk, chair, monitor, etc)
Work Environment
At Craft we value flexibility and innovation, as well as in-person interaction and team activities whenever possible. This is a remote role based in the Seattle area. Although in-person attendance is not expected or required, team offsite meetings and collaboration are encouraged!
Interview Process
We want you to have a great interviewing experience and see this as a conversation. To help you prepare, the outline typically (but subject to change) looks like:
Recruiter (20 min) - Non-technical phone call to discuss Craft, your background and answer questions.
Technical (90 min) - Video call covering data engineering topics. We don’t ask Leetcode-style brain teaser problems.
Hiring Manager (30 min) - Non-technical video call to do a deeper dive into your background, the role and opportunity.
Product Manager (30 min) - Video call covering product.
