Remote Sr. Data Engineer

Description:

• Craft is seeking a Senior Data Engineer to join their team and work 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 datasets, designing testable and maintainable software, and supporting data strategies and vision.
• The Senior Data Engineer will stay updated on emerging technologies in Data Engineering, work on extendable data processing systems, and apply Machine learning techniques to extract value from datasets.
• The position is remote, with a preference for candidates in Eastern or Central time zones due to team members' time zones.

Requirements:

• The ideal candidate should have at least 3 years of experience in Data Engineering and Python.
• Experience in developing, maintaining, and ensuring the reliability, scalability, fault tolerance, 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 knowledge of infrastructure-as-code approach.
• Strong problem-solving skills, effective communication, curiosity, empathy, and the ability to work independently are essential.
• Familiarity with the current technology stack including Python, PySpark, Pandas, SQL (PostgreSQL), Airflow, Docker, Databricks, and AWS is beneficial.

Benefits:

• Competitive salary starting at $160,000 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 investment options, and a $200 monthly wellness/learning stipend for gym memberships, meals, books, conferences, etc.