Data Engineering Manager (100% Remote)
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineering Manager - REMOTE. In this role, you will oversee a team of data engineers while driving the technical vision for building and optimizing data pipelines that support our streaming services. Your leadership will facilitate collaboration across departments to deliver effective data solutions that enhance the overall user experience. The Data Engineering team is pivotal in processing billions of data events and providing actionable insights, making your role crucial in shaping the data infrastructure that propels the organization forward. You will blend coding with management, mentoring your team in best practices while ensuring high-performance data systems are established.
Accountabilities
• Drive technical leadership to members of the Data Engineering team.
• Provide strong people management for the team, facilitating career development.
• Lead the design and implementation of data platform architecture.
• Set technical standards and best practices for data engineering.
• Collaborate with cross-functional teams to understand data needs.
• Design scalable data pipelines and infrastructure.
• Manage team workload, priorities, and delivery timelines.
• Implement data governance, security, and quality control processes.
• Guide technical decisions for long-term sustainability.
Requirements
• 10+ years of experience in data engineering, especially high-volume data platforms.
• 2+ years managing data engineering teams in cloud-native environments.
• Deep expertise in AWS data services, Snowflake, dbt, and more.
• Strong people management skills, with a focus on coaching and development.
• Proven track record in designing and implementing data platforms.
• Excellent communication skills for engaging technical and non-technical stakeholders.
• Experience managing cloud-based data platforms.
Benefits
• Full health, dental and vision coverage for you and your family.
• 401(k) plan with employer contributions.
• Flexible working hours.
• Up to 20 weeks of fully paid parental leave.
• Unlimited paid time off for vacation and sick leave.
• $2,000 annual vacation bonus.
• $5,250 annually for professional development.
• $1,250 first-year home office stipend.
• $500/month bonus for in-office work commitment.
• Free Gympass subscription.
Why Apply Through Jobgether?
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply Now
Apply Now
Accountabilities
• Drive technical leadership to members of the Data Engineering team.
• Provide strong people management for the team, facilitating career development.
• Lead the design and implementation of data platform architecture.
• Set technical standards and best practices for data engineering.
• Collaborate with cross-functional teams to understand data needs.
• Design scalable data pipelines and infrastructure.
• Manage team workload, priorities, and delivery timelines.
• Implement data governance, security, and quality control processes.
• Guide technical decisions for long-term sustainability.
Requirements
• 10+ years of experience in data engineering, especially high-volume data platforms.
• 2+ years managing data engineering teams in cloud-native environments.
• Deep expertise in AWS data services, Snowflake, dbt, and more.
• Strong people management skills, with a focus on coaching and development.
• Proven track record in designing and implementing data platforms.
• Excellent communication skills for engaging technical and non-technical stakeholders.
• Experience managing cloud-based data platforms.
Benefits
• Full health, dental and vision coverage for you and your family.
• 401(k) plan with employer contributions.
• Flexible working hours.
• Up to 20 weeks of fully paid parental leave.
• Unlimited paid time off for vacation and sick leave.
• $2,000 annual vacation bonus.
• $5,250 annually for professional development.
• $1,250 first-year home office stipend.
• $500/month bonus for in-office work commitment.
• Free Gympass subscription.
Why Apply Through Jobgether?
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply Now
Apply Now