[Remote] Data Engineer with strong Python experience

Note: The job is a remote job and is open to candidates in USA. Dice is a company looking for a Data Engineer with strong Python experience. The role involves building and scaling data pipelines, carrying out complex analysis, and implementing data governance policies to ensure data security and compliance.

Responsibilities

• Build and scale data pipelines in production environments using a modern data stack
• Carry out complex analysis utilizing PostgreSQL
• Implement data modeling best practices to support analytics and reporting needs
• Design technical architecture and infrastructure components
• Create automated data and code quality checks
• Implement and enforce data governance policies and best practices to ensure data security and compliance
• Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions
• Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc

Skills

• Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered
• 3+ years of hands-on experience with Python for data processing in a production environment
• 2+ years of experience with PostgreSQL
• Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams
• Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts
• Experience with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) in a production environment
• Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred
• Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus

Company Overview

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