Sr. Data Engineer- Ops Efficiency

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 Data Engineer to join a team responsible for a key product within the organization. As a core member of this team you will have a great say in how solutions are engineered and delivered. 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.
• Keep track of emerging technologies & trends in the Data Engineering world, incorporating
• modern tooling and best practices at Craft.
• 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
• 3+ years of experience in Data Engineering
• 3+ years of experience with Python
• Knowledge and experience of Amazon Web Services (AWS).
• Familiar with infrastructure-as-code approach (Terraform)
• Self-starter, independent, likes to take initiative.
• Experience in mentoring data engineers and build technical team
• Have fundamental and deep knowledge of data engineering techniques: ETL (Batch & Streaming), DWH, Data Lakes, MPP
• Data analytical and statistical background would be a large plus
• Ideally located near Washington, DC


Our current technology 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:

• 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 + Vision insurance for employees and dependents
• 12 weeks of fully paid leave for both birthing and non-birthing parents
• 401K through Human Interest with options to invest how you want it
• $200 Monthly Wellness/Learning stipend (Gym memberships, meals, snacks, books, classes, conferences, etc.)
• $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 on the East Coast. 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.

Hiring Manager (40 min) - video call to do a deeper dive into your background, the role and opportunity.

Technical (90 min) - Video call covering Data Engineer topics.

Executive (30 min) - Video call with one of our Engineering Executives