Sr. Data Engineer (US)

Key Skills

Amazon Simple Storage Service (S3), AWS, B2B, CircleCI, Data Analysis, Data Engineering, Data Lake, Data Modeling, Data pipelines, Docker, DynamoDB, ETL/ELT technologies, Machine learning techniques, NoSQL, Postgres, Python Programming, SDLC, SQL

Job Description

Craft is looking for an experienced and motivated Senior 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 drives 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:

• 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 and experience of Amazon Web Services (AWS) and Databricks (nice to have).

• 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 + vision insurance for employees and dependents

• 401K through Empower with options to invest how you want it

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.