Lead 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 - REMOTE. In this pivotal role, you will be responsible for overseeing a talented team of data engineers, guiding them through the intricacies of developing and managing data systems. You will engage closely with your team to streamline operational processes, enhance data quality, and ensure the reliability of our data pipelines. Your expertise will not only shape technical strategies but also foster a collaborative culture that empowers engineers to excel. Ultimately, your contributions will drive innovations that support client needs and advance organizational goals.
Accountabilities
• Lead a group of engineers focused on rapidly developing, scaling, and supporting data products for consumption by clients and business stakeholders
• Be actively engaged in problem-solving and solution design
• Own data engineering delivery outcomes (timelines, tradeoffs)
• Simplify existing pipelines and architectures where complexity or fragmentation has crept in
• Define and incorporate best practices to uphold quality, reliability, and operational sanity
• Partner with business and engineering stakeholders to understand needs, align priorities, and translate them into shipped solutions
• Foster a proactive, can-do, and execution-oriented culture
Requirements
• 5+ years of experience building and running data systems in production
• 1+ years of experience managing technical projects as an engineering lead and/or people manager
• Comfort working across SQL and Python in modern distributed data platforms
• Aptitude for designing and understanding data systems with varied layers of interdependency
• Working knowledge of data security and governance standards
• Exposure to data visualization tools such as Databricks AI/BI, PowerBI, Tableau, etc.
Benefits
• Competitive salary range: $124,100 - $179,700
• Bonus/Variable Pay: 15%
• Flexible working hours
• Opportunities for growth and professional development
• Collaborative and inclusive team culture
• Health and wellness benefits
• Remote work opportunity
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
• Lead a group of engineers focused on rapidly developing, scaling, and supporting data products for consumption by clients and business stakeholders
• Be actively engaged in problem-solving and solution design
• Own data engineering delivery outcomes (timelines, tradeoffs)
• Simplify existing pipelines and architectures where complexity or fragmentation has crept in
• Define and incorporate best practices to uphold quality, reliability, and operational sanity
• Partner with business and engineering stakeholders to understand needs, align priorities, and translate them into shipped solutions
• Foster a proactive, can-do, and execution-oriented culture
Requirements
• 5+ years of experience building and running data systems in production
• 1+ years of experience managing technical projects as an engineering lead and/or people manager
• Comfort working across SQL and Python in modern distributed data platforms
• Aptitude for designing and understanding data systems with varied layers of interdependency
• Working knowledge of data security and governance standards
• Exposure to data visualization tools such as Databricks AI/BI, PowerBI, Tableau, etc.
Benefits
• Competitive salary range: $124,100 - $179,700
• Bonus/Variable Pay: 15%
• Flexible working hours
• Opportunities for growth and professional development
• Collaborative and inclusive team culture
• Health and wellness benefits
• Remote work opportunity
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