Remote Data Engineer (US)

Description:

• Craft is seeking an experienced and motivated Data Engineer to join their team, focusing on building data products and solutions for Supply Chain Risk Management.
• The role involves responsibilities such as building and optimizing data pipelines, analyzing and modeling diverse datasets, designing testable and maintainable software, and supporting data strategies and vision.
• The Data Engineer will work on extendable data processing systems, apply machine learning techniques to extract value from datasets, and stay updated on emerging technologies in the Data Engineering field.
• The position is remote, with a preference for candidates in Eastern or Central time zones due to team members' locations.

Requirements:

• Candidates should have at least 2 years of experience in Data Engineering and Python.
• Experience in developing, maintaining, and ensuring reliability, scalability, and observability of data pipelines in a production environment is required.
• Fundamental knowledge of data engineering techniques like ETL/ELT, batch and streaming, DWH, Data Lakes, and distributed processing is necessary.
• Familiarity with Amazon Web Services (AWS) and Databricks is a plus, along with an infrastructure-as-code approach.
• Strong problem-solving skills, effective communication, curiosity for new technologies, and a self-starting attitude are desired qualities.
• Proficiency in Python, PySpark, Pandas, SQL (PostgreSQL), Airflow, Docker, Databricks, AWS (S3, Batch, Athena, RDS, DynamoDB, Glue, ECS), and Terraform is beneficial.

Benefits:

• Competitive salary starting at $150,000 USD/year, with potential for increase based on expertise, location, and market experience.
• Equity at a well-funded startup, unlimited vacation time, and 99% covered health, dental, and vision insurance for employees and dependents.
• 401K through Empower with customizable investment options, and a $200 monthly wellness/learning stipend for gym memberships, meals, books, conferences, and more.