We are seeking a skilled Data Engineer to design, build, and optimize data pipelines for our cutting-edge analytics platform. Join a remote team and contribute to transforming raw data into actionable insights.

As a Data Engineer at Nan, you will play a pivotal role in our data infrastructure, ensuring seamless data flow from various sources to our analytics systems. You will collaborate with data scientists and analysts to create robust, scalable solutions that support business intelligence and machine learning initiatives.

Key responsibilities include developing and maintaining ETL processes, optimizing data storage and retrieval, and implementing data quality checks. You will work with large datasets in a cloud-based environment, leveraging tools like Python, SQL, and Spark to build efficient pipelines. This remote contract position offers the flexibility to work from anywhere while contributing to innovative projects that drive our company's success.

If you have a passion for data and enjoy solving complex technical challenges, this is an excellent opportunity to advance your career in a forward-thinking organization.

• Bachelor's degree in Computer Science, Engineering, or a related field
• 3+ years of experience in data engineering roles
• Proficiency in SQL, Python, and ETL tools like Apache Airflow or Talend
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Strong knowledge of data warehousing solutions like Snowflake or Redshift
• Familiarity with big data technologies like Hadoop or Spark
• Excellent problem-solving skills and attention to detail
• Ability to work independently in a remote environment

• Competitive monthly salary with performance bonuses
• Flexible remote work schedule
• Comprehensive health and dental insurance coverage
• Professional development opportunities and certifications reimbursement
• Generous paid time off and holiday schedule
• Collaborative and inclusive team culture
• Access to modern tools and technologies
• Opportunities for career growth within the company