Manager, Data Engineering

iPipeline • Radnor Township, PA

8h • Onsite

About The Position

As a global market leader, iPipeline combines technology, innovation, and expertise to deliver ground-breaking, award-winning software solutions that transform the life insurance, financial services, and protection industries. With one of the industry’s largest data sets, we help advisors/advisers and agents to transform paper and manual operations into a secure, seamless digital experience – from proposal to commission– so they can help better secure the financial futures of their clients.
At iPipeline, you’ll play a major role in helping us to provide best-in-class, transformative solutions. We’re passionate, creative, and innovative, and together as a team, we continually strive to advance, accelerate, and expand the reach of our technology. We value different perspectives and are committed to creating an environment that embraces diverse backgrounds and fosters inclusion.
We’re proud that we’ve been recognized as a repeat winner of various industry awards, demonstrating our excellence and highlighting us as a top workplace in both the US and the UK. We believe that the culture we’ve built for our nearly 900 employees around the word is exceptional -- and we’ve created a place where our employees love to come to work, every single day.
Come join our team!
About iPipeline
Founded in 1995, iPipeline operates as a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500®, and Fortune 1000® indices. iPipeline is a leading global provider of comprehensive and integrated digital solutions for the life insurance and financial services industries in North America, and life insurance and pensions industries in the UK. We couple one of the most expansive digital and automated platforms with one of the industry’s largest data libraries to accelerate, automate, and simplify various applications, processes, and workflows – from quote to commission – with seamless integration. Our vision is to help everyone achieve lasting financial security by delivering innovative solutions that connect, simplify, and transform the industry.
iPipeline is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to gender, race, color, religious creed, national origin, age, sexual orientation, gender identity, physical or mental disability, and/or protected veteran status. We are committed to building a supportive and inclusive environment for all employees.
This is an office-based position.

Requirements

• Working knowledge of analytical data modeling techniques (e.g., dimensional, domain-oriented models) and how data structures support reporting, analytics, and downstream data consumers.
• Strong understanding of modern data lake and warehouse architectures, ETL/ELT pipelines, and cloud-based data platforms.
• Experience designing, building, or operating data solutions in a public cloud environment (e.g., AWS, Azure, GCP), with awareness of scalability, security, and cost considerations.
• Experience with large-scale data pipelines and workflow orchestration in production environments.
• Working knowledge of data quality, security, and governance practices and how they are applied within engineering teams.
• Experience supporting production data systems, including monitoring, incident response, and issue resolution.
• Strong communication and collaboration skills, with experience working with product managers, analytics teams, and business stakeholders.
• Demonstrated experience managing and developing data engineering teams, including hiring, performance management, coaching, and fostering a collaborative and inclusive team culture.
• Ability to lead team-level change initiatives and support adoption of new tools, processes, and standards.

Responsibilities

• Translate organizational data strategy into execution plans; contribute to roadmap development and manage team-level priorities and budgets.
• Ensure timely delivery of data lakes, warehouses, and streaming solutions that meet performance, security, and reliability standards.
• Hire, coach, mentor, and develop data engineering teams; foster a collaborative and data-driven team culture.
• Ensure consistent application of data governance, quality, and security frameworks across owned teams.
• Partner with product managers, analytics leaders, and business stakeholders to align requirements and manage expectations.
• Evaluate new tools and techniques within team scope and recommend improvements to platforms and processes.
• Ensure operational stability of owned platforms; oversee incident response and remediation.
• Manage team-level budgets and cloud usage; support vendor interactions.
• Track KPIs related to delivery, reliability, and quality; manage risks within assigned scope.

Benefits

• We offer a competitive compensation and benefits package, opportunities for career growth, an employee stock purchase plan, 401(k), generous time off and flexible work/life balance, company-matched retirement packages, an employee wellness program, and an awards and recognition program – all in a creative, fast-growing, and innovative company.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed