Senior Data Engineer I

C2FO is a company transforming the financial system to provide businesses with access to working capital. They are seeking a Senior Data Engineer I to join their data ingestion team, where the individual will design and maintain scalable data systems and collaborate across teams to drive critical business insights.

Responsibilities:

• Solve Complex Problems: Apply your broad experience and expertise to develop innovative solutions for complex data challenges. Use professional judgment to determine the best methods and techniques for problem-solving, even in unfamiliar territory
• Data Architecture & Engineering: Design, develop, and maintain high-performance, scalable, and testable data pipelines and ETL processes
• Cross-Functional Collaboration: Partner with data science, analytics, product, marketing, and engineering teams to translate business needs into scalable data solutions. Network with senior internal and external stakeholders to enhance data strategies
• Autonomy & Ownership: Work with minimal oversight, ensuring technical integrity in all solutions. Define methods and procedures for new assignments and contribute to the coordination of data engineering activities
• Optimize & Maintain Data Infrastructure: Ensure system performance, reliability, and security by continuously improving existing data platforms
• Data Governance & Quality: Implement and advocate for best practices in data governance, security, and quality assurance
• Leadership & Mentorship: Influence project planning and timelines, provide actionable feedback, and mentor junior engineers to foster a high-performing, collaborative team
• Stay Ahead of Industry Trends: Keep up with emerging technologies and best practices to continuously improve data engineering processes
• Fully Remote: This position is fully remote, requiring a reliable internet connection in a private setting
• Physical requirements: This position primarily requires sitting, standing, typing, and viewing screens for extended periods

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience)
• 5+ years of experience in data engineering, with a proven track record of solving complex problems and scaling data pipelines
• Strong SQL skills and experience with data processing frameworks (e.g., Apache Spark, Apache Kafka)
• Expertise in cloud data platforms (AWS)
• Proficiency in Python, Java, or Scala
• Experience with AWS Glue
• Solid understanding of data warehousing concepts (e.g., Redshift)
• Strong analytical and problem-solving skills, with the ability to work independently and exercise good judgment
• Hands-on experience with ETL tools like Airflow
• Experience with DBT(data build tool)
• Experience with data modeling, governance, and quality assurance
• Experience in software application development
• Experience with containerization and orchestration tools (Docker, Kubernetes)
• Familiarity with machine learning workflows and model deployment pipelines
• Power BI management and report building
• Knowledge of data security best practices and frameworks