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At PitchBook, our Product & Engineering team is made up of big thinkers, innovators, and problem-solvers who aim to make a meaningful impact on our customers and company every day. We value curiosity, customer empathy, and the drive to find better ways of doing things. Our work blends creativity with technical expertise to deliver world-class customer experiences through product innovation. As a Lead Engineer in PitchBook’s Finance Platform Automation division, you’ll drive the engineering initiatives that power our Finance technology stack. You’ll ensure seamless integration, data integrity, and scalability across Finance, Sales, and Customer Success systems. This role blends technical leadership with hands-on development. You’ll mentor engineers, guide architecture, and deliver automation and data solutions aligned with strategic business goals. Leveraging expertise in Java, Python, workflow automation (Workato), data platforms (Snowflake), cloud technologies (AWS/GCP, Kubernetes, Docker), and messaging frameworks (Kafka), you’ll build high-performance, cloud-native systems that enhance automation and financial operations. Primary Job Responsibilities Mentor and lead the design and development of automation solutions for Finance and Revenue platforms Deliver scalable, maintainable code focused on performance, reliability, and security Provide architectural direction and uphold engineering best practices Ensure the health and integration of Finance systems including Salesforce Billing, Oracle, Informatica, and Marketo Lead initiatives to improve automation, workflow efficiency, and data consistency across the Finance ecosystem Drive adoption of best practices in automation, test coverage, and cloud-native delivery Partner with Product, Finance, Sales, and Data teams to translate complex technical needs into impactful business solutions Maintain high standards for security, performance, and estimation accuracy Identify and remove blockers early to ensure timely, high-quality releases Skills and Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 7 + years in software engineering with deep experience in integration and workflow automation 3 + years leading engineering teams of 5 + members Proficiency in Java/Python or Javascript Experience integrating Salesforce, payment portals, collection tools, and ERP systems (Oracle) Strong background in Kafka, Kubernetes, Docker, and cloud-scale architecture Solid grasp of Agile, DevOps, and CI/CD pipelines Excellent problem-solving, collaboration, and stakeholder-management skills Background in FinTech preferred Proven experience in leveraging AI tools and frameworks to improve engineering productivity and delivery efficiency Experience designing or integrating AI-driven applications to enhance automation, data insights, or user experience Morningstar is an equal opportunity employer. Working Conditions The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. 037_PitchBookDataInc PitchBook Data, Inc Legal Entity
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
