Senior Data Engineer

About the Role

Our client is seeking a proactive and skilled Senior Data Engineer to join their fully remote data team. This role is crucial for building and maintaining robust data pipelines and infrastructure that support advanced analytics and machine learning initiatives. You will work with large datasets, diverse data sources, and cutting-edge technologies to ensure data quality, accessibility, and performance. The ideal candidate is passionate about data, possesses strong programming skills, and thrives in a collaborative, distributed environment.

This is an excellent opportunity to contribute to data-driven decision-making and to influence the future of data engineering at our client.

• Design, build, and optimize scalable and reliable data pipelines for batch and real-time data processing.
• Develop and maintain data warehousing solutions and data lakes using cloud-based technologies.
• Implement data quality frameworks and ensure the integrity and accuracy of data across the organization.
• Collaborate with data scientists and analy...
• Optimize database performance and query efficiency.
• Contribute to the development of data governance policies and best practices.

• Bachelor's or Master's degree in Computer Science, Statistics, or a related quantitative field.
• 5+ years of experience in data engineering or a similar role.
• Strong proficiency in SQL and experience with data warehousing concepts.
• Proficiency in programming languages such as Python or Scala for data manipulation and pipeline development.
• Hands-on experience with big data technologies (e.g., Spark, Hadoop) and cloud data platforms (e.g., AWS Redshift, GCP Big Query, Azure Data Lake).
• Experience with ETL/ELT tools and data modeling techniques.

• Highly competitive salary and potential for performance bonuses.
• This is a fully remote position , offering excellent work-life balance and flexibility.
• Comprehensive health and wellness benefits.
• Access to continuous learning resources and professional development opportunities.
• Opportunity to work on challenging and impactful data projects.
• A culture that fosters innovation, collaboration, and continuous improvement.