Manager, Data Engineering - REMOTE

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Engineering. This role will play a crucial part in managing the overall data platform and infrastructure, while mentoring a talented team of data engineers. You will support the development of processes and the expansion of the technology roadmap, ensuring high-quality deliverables.

With the potential to impact health outcomes globally, your insights and decision-making will drive significant improvements across various business contexts.

• Manage design and development of software and processes to support large scale, efficient data pipelines.
• Translate technical business goals and requirements into effective design patterns in partnership with engineering leads.
• Plan, prioritize, and execute data production projects and processes for the data engineering team.
• Develop standards and processes for high-quality data product delivery.
• Participate in code reviews and lead technical discussions, maintaining agile practices.
• Oversee the automation of key ETL/ELT processes for large volumes of data.
• Perform data governance, quality checks, and manage data integrity standards.
• Contribute to key technology choices for scalable and secure data pipelines.
• Lead resource allocation to meet operating objectives while fostering a diverse workplace.

• Bachelor's degree and 5+ years of related experience or equivalent experience.
• Proficiency in AWS, Snowflake, and Python is desirable.
• Strong understanding of data governance and quality assurance processes.
• Experience in leading teams and managing multiple projects simultaneously.
• Ability to communicate analytical insights effectively to stakeholders.

• Competitive pay ranging from $ to $ per year.
• Comprehensive benefits package including health insurance, 401K, and stock purchase plans.
• Tuition reimbursement and paid time off plus holidays.
• Flexible work schedule options including remote, hybrid, or office work.
• Commitment to diversity and equal opportunity in the workplace.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.