Senior Data Engineer - Remote

Overview

As a Senior Data Engineer, you will take a leading role in processing, orchestrating, and delivering customized data assets, ensuring the highest quality of data used in cancer genetics research and innovation.

In Short

• Collaborate with customers to understand their data needs and requirements.
• Provide accurate effort estimates and design solutions aligning with customer specifications.
• Utilize ETL and orchestration tools to process data from source systems.
• Implement, test, and maintain data solutions for scalability and reliability.
• Act as a liaison between technical teams and customers.
• Offer innovative solutions for new customer requirements.
• Collaborate with other data engineers to develop comprehensive data solutions.
• Contribute to the design of reusable components and frameworks.
• Ensure adherence to data governance standards and best practices.
• Conduct performance tuning of data processes.

Requirements

• Bachelor’s or Master’s degree in Computer Science or related field.
• 3+ years of hands-on experience in data engineering.
• Proficiency in ETL tools (e.g., Microsoft SSIS, Qlik, Informatica).
• Expertise in managing and transforming data across cloud storage (AWS S3, Azure).
• Experience with AWS databases and Snowflake is a plus.
• Familiarity with secure data transfer technologies (SFTP, FTP).
• Ability to design and optimize data workflows across systems.
• Strong programming skills in Python, Java, or similar languages.
• Knowledge of cloud services integration with data engineering.
• Excellent problem-solving and communication skills.

Benefits

• Career development and internal coaching opportunities.
• Competitive benefits with various HMO and PPO options.
• 401k match and Employee Stock Purchase Program.
• Tuition reimbursement and leadership development programs.
• 16 days of paid time off plus holidays.
• Wellness courses and engaged employee resource groups.