Engineering Manager, Data Pipeline (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Engineering Management, Data Pipeline, Distributed Systems, Scalability, Performance, Data Governance, Team Leadership, Collaboration, Go, Kubernetes, Flink, Kafka, BigQuery, Problem-Solving, Technical Excellence, Cloud Environments

Industry

Internet Marketplace Platforms

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. 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. 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. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead a high-performing team responsible for building and maintaining critical data infrastructure. Ensure reliability, scalability, and performance across real-time and batch data pipelines.