Tech Lead, Data Engineering(SDE)
Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Oct 6, 2026. Fiserv scores A on the Alion truth index.
Calling all innovators - find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Tech Lead, Data Engineering(SDE)SDE - Full Stack (BI / Data Apps)
About your role:
As an SDE -Full Stack, you will build modern user interfaces and backend services that support business intelligence, analytics, and data-driven applications. You will work with engineering, product, and data teams to deliver secure, scalable, and high-performing solutions that make data accessible and actionable. Your work will help strengthen reporting experiences, improve application usability, and enable trusted integration across enterprise data platforms.
What you'll do:
- Design and develop full stack applications that support business intelligence, analytics, and data application use cases across enterprise environments.
- Build modern front-end experiences using React and TypeScript, creating responsive, maintainable, and user-focused interfaces.
- Develop backend services and APIs using Python frameworks such as FastAPI, Flask, or similar technologies to support scalable data application workflows.
- Design and implement RESTful application programming interfaces (APIs) that enable secure, reliable, and efficient communication between user interfaces, backend services, and data platforms.
- Integrate applications with structured query language (SQL)-based data sources and cloud or distributed analytical platforms such as Snowflake, StarRocks, or similar systems.
- Configure and support business intelligence tooling and embedded analytics experiences using Apache Superset, ECharts, or similar data visualization frameworks.
- Implement authentication and authorization capabilities using standards such as OAuth2, Security Assertion Markup Language (SAML), or similar identity protocols.
- Partner with data engineers, product teams, and architects to translate business needs into technical solutions that improve usability, performance, and data accessibility.
- Troubleshoot application issues, optimize performance, and support code quality through testing, code reviews, and engineering best practices.
- Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.
Experience you'll need to have:
- 3+ years of experience in full stack software development building modern web applications and data-driven user experiences.
- Experience with React, TypeScript, and modern front-end development practices used to build responsive and maintainable user interfaces.
- Experience with Python backend development using FastAPI, Flask, or similar frameworks to build scalable APIs and services.
- Experience designing and integrating RESTful APIs for application-to-application and front-end-to-backend communication.
- Experience with SQL and analytical data platforms such as Snowflake, StarRocks, or similar modern data warehouse or analytics technologies.
- Experience with authentication and authorization standards such as OAuth2, SAML, or similar enterprise identity integration approaches.
- Bachelor’s degree or higher in Computer Science, Engineering, Information Systems, or related field or equivalent combination of education, related experience and/or military experience.
Experience that would be great to have:
- Experience with Apache Superset, ECharts, or similar business intelligence and data visualization platforms.
- Experience developing embedded analytics or business intelligence applications for enterprise users.
- Experience working with data engineers, architects, and analytics teams in cloud or modern data platform environments.
- Experience improving performance and usability of interactive data applications.
How you'll work:
- This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.
Thank you for considering employment with Fiserv. Please:
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Our commitment to Diversity and Inclusion:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.