Senior Engineering Manager, Data Engineering at Engine

, , United States -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

255000.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Team Leadership, Snowflake, Airflow, ETL Processes, Data Warehousing, Agile Methodologies, Data Visualization, Looker, Tableau, Domo, Analytical Thinking, Decision Making, Performance Management, Mentorship, Career Development

Industry

Software Development

Description

About Engine At Engine, we’re transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented — we’re here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That’s why we’re building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place. To make this vision real, we’re looking for exceptional, mission-driven people to help redefine how businesses manage and experience travel. More than 20,000 companies already rely on Engine to support over 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine-only rates, industry-leading rewards, and intelligent automation to help businesses save money while delivering world-class personalization and convenience. Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest-growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In’s Best Places to Work. We’re seeking a Senior Data Engineering Manager to lead the re-architecture of our data warehouse and drive the expansion of our data platform. This is a high-impact opportunity to build scalable infrastructure that integrates multiple data sources into unified, accessible views. Over the next few months, the focus will be on migrating data pipelines to a modern architecture, improving governance, and enabling better internal data sharing. We’re looking for a strategic leader with deep experience in tools like Snowflake, Airflow, dbt, and Airbyte, who can guide both the technical direction and the growth of a high-performing team. Your Mission: As part of the Engine team, you’ll play a vital role in an environment where innovation meets collaboration. Here’s what you’ll take charge of: Lead a high-performing data engineering team by driving collaboration, growth, and accountability. Set clear goals, provide strategic direction, and develop talent to ensure long-term success. Manage and streamline team operations, bringing a deep understanding of data engineering challenges and optimizing workflows. Oversee the end-to-end development lifecycle of data engineering projects, ensuring timely delivery, budget adherence, and technical excellence. Implement and refine engineering best practices using agile methodologies while continuously improving workflows, tools, and processes. Act as a bridge between engineering and other teams, ensuring clear communication and alignment on priorities. Translate complex technical concepts into actionable insights for business stakeholders. Stay ahead of industry trends and emerging technologies, integrating innovative solutions that enhance data infrastructure, scalability, and performance. What You’ll Bring to Engine: We’re looking for someone who’s ready to make an impact and grow alongside us: Experience: 5+ years of experience in engineering, with at least 5 years in a management role. Proven track record of successfully leading data engineering teams and delivering complex projects. Technical Expertise: Deep knowledge of data engineering, preferably with experience in Snowflake, Airflow, and data visualization tools such as Looker, Tableau, and Domo. Strong understanding of data pipelines, data warehousing, and ETL processes. Leadership & Performance Management: Ability to manage and scale a team in a fast-paced, high-growth environment. Proven experience in performance management, mentorship, and career development. Problem-Solving & Communication: Strong analytical thinking with excellent decision-making abilities. Ability to manage multiple priorities, meet deadlines, and communicate effectively with technical and non-technical stakeholders. Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred). Mindset: A strategic and results-driven approach to engineering and team leadership. Adaptability and a continuous improvement mindset. Evergreen Status: We accept applications for this role on an ongoing basis. We review applications as they are received and encourage interested candidates to apply early. Compensation Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process. Base Pay Range $184,280—$255,000 USD The Engine Edge: Perks & Compensation We believe in rewarding great work with great benefits: Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. Benefits: Check out our full list at engine.com/culture. Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed. Perks and benefits may vary based on employment type, location, and more. Ready to Build the Future of Work Travel? Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.

Responsibilities

Lead a high-performing data engineering team and oversee the end-to-end development lifecycle of data engineering projects. Implement engineering best practices and act as a bridge between engineering and other teams.