Engineering Manager, Data Pipeline (Remote - US)

Jobgether; United States; Remote; USD 130,000 - 160,000; Full time

Job summary

A tech staffing solution provider is seeking an Engineering Manager, Data Pipeline in the United States. This role involves leading a team to build and maintain a robust data infrastructure that processes vast amounts of data daily. Key responsibilities include designing data pipeline systems, driving engineering projects aligned with business goals, and fostering a high-performing, collaborative team culture. The ideal candidate has significant experience in backend systems and team leadership, along with strong problem-solving skills and excellent communication.

Benefits

Comprehensive healthcare coverage

401(k) retirement plan with employer match

Flexible vacation and company-wide days off

Mental health resources and coaching benefits

Qualifications

• 2–4 years of experience managing high-performing engineering teams.
• 7+ years of experience building large-scale, distributed backend systems.
• Strong expertise in scalability, performance, and operational excellence for critical data systems.
• Excellent communication and collaboration skills.

Responsibilities

• Lead the design, evolution, and scaling of the data pipeline infrastructure.
• Drive high-impact engineering projects that align with company objectives.
• Build, mentor, and grow a high-performing team.
• Ensure the data pipeline remains highly reliable and performant.

Skills

Team leadership

Scalability

Problem-solving

Collaboration

Education

BS degree in Computer Science or equivalent

Tools

Go

Kubernetes

Flink

Kafka

BigQuery

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Data Pipeline in United States.

In this role, you will lead a high-performing team responsible for building and maintaining a critical data infrastructure that processes hundreds of billions of events daily. You will ensure reliability, scalability, and performance across real-time and batch data pipelines used by multiple business units. This is a technically complex and high-impact position requiring strategic leadership, hands-on understanding of distributed systems, and the ability to collaborate across engineering, data science, and operations teams. You will help shape the future of data infrastructure, mentor engineers, and drive adoption of best practices in data governance and production at web scale.

Accountabilities

• Lead the design, evolution, and scaling of the data pipeline infrastructure to support organizational growth.
• Drive high-impact engineering projects that align with company-wide technical and business objectives.
• Build, mentor, and grow a high-performing team, fostering a culture of technical excellence and collaboration.
• Establish and enforce best practices for data production, consumption, and governance.
• Ensure the data pipeline remains highly reliable, low-latency, and performant under massive scale.
• Collaborate closely with cross-functional engineering teams to meet their data needs.
• Extend and optimize data infrastructure across multiple cloud environments and data centers.
• Continuously improve team processes, technical skills, and leadership practices.

Qualifications

• 2–4 years of experience managing high-performing engineering teams.
• 7+ years of experience building large-scale, distributed backend systems.
• Strong expertise in scalability, performance, and operational excellence for critical data systems.
• Hands-on experience with technologies such as Go, Kubernetes, Flink, Kafka, and BigQuery preferred.
• BS degree in Computer Science, related technical field, or equivalent practical experience.
• Excellent communication and collaboration skills, with the ability to influence across multiple organizational levels.
• Strong problem-solving skills and ability to work in a fast-paced, technically complex environment.
• Empathy and leadership qualities that foster team growth, accountability, and innovation.

Benefits

• Comprehensive healthcare coverage including medical, dental, and vision.
• 401(k) retirement plan with employer match.
• Family planning and gender-affirming care support.
• Mental health resources and coaching benefits.
• Flexible vacation and company-wide days off.
• Generous paid parental leave and volunteer time off.
• Eligibility for equity awards and potential incentive compensation.
• Remote work flexibility within the United States.