Manager, Data Engineering

Jobgether

11h • Remote

About The Position

This role provides a unique opportunity to lead and scale a high-performing Data Engineering team responsible for building the data platforms and pipelines that power business intelligence, analytics, and machine learning initiatives. You will set the strategic vision for data infrastructure, drive operational excellence, and ensure that systems are scalable, reliable, and secure. Working closely with data scientists, analysts, software engineers, and business stakeholders, you will deliver high-impact data solutions that enable self-service analytics and informed decision-making. The position combines hands-on technical leadership with people management, fostering a collaborative and innovative culture. You will also play a key role in defining data standards, ensuring quality, and guiding the team through growth and complex technical challenges.

Requirements

• 10+ years of experience in data engineering or software engineering, including 4+ years in a leadership or management role.
• Expertise in building and optimizing large-scale data pipelines using modern cloud technologies, particularly AWS.
• Experience with cloud-based data warehousing and transformation tools (e.g., Amazon Redshift, dbt) and supporting analytics platforms.
• Proficiency in SQL and Python, with strong knowledge of data modeling and database systems (SQL, NoSQL, distributed databases).
• Understanding of data security, privacy, and compliance in regulated environments.
• Solid foundation in software engineering principles, version control, testing, and deployment best practices.
• Demonstrated ability to improve team accountability, velocity, and predictability in fast-paced environments.
• Hands-on technical skills sufficient to review pull requests, validate architectural decisions, and assess technical complexity.
• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field.
• Must be a U.S. Person due to regulatory requirements.

Responsibilities

• Lead, mentor, and develop a team of data engineers and analysts, fostering collaboration and performance across data platform development and analytics delivery.
• Define and communicate the strategic vision for scalable, high-quality, and secure data infrastructure that enables self-service business intelligence.
• Oversee the design, development, and maintenance of data pipelines that ingest, transform, and deliver reliable data from multiple sources.
• Implement data quality frameworks, monitoring, and validation processes to ensure accuracy, consistency, and reliability.
• Partner with data scientists, analysts, and software engineers to build complex data models and analytical solutions.
• Maintain hands-on technical proficiency to review code, validate architecture, and assess technical complexity.
• Drive performance management, goal-setting, and continuous improvement initiatives within the team.
• Collaborate with business stakeholders to gather requirements, translate technical concepts, and deliver actionable insights.

Benefits

• Comprehensive Medical, Dental, and Vision coverage (including domestic partnerships).
• Employer-paid life insurance and supplemental life coverage for employees and family members.
• Voluntary short- and long-term disability insurance.
• 401(k) plan with employer match.
• Generous PTO plan, including paid bereavement and jury duty leave.
• Competitive annual bonuses above market standards.
• Fully remote work with optional hybrid schedule for select U.S. locations.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 11-50 employees