Analyst Program – Data Engineer

Fiserv is seeking an Analyst Program – Data Engineer to join its Alpharetta, Fulton County, US campus. This entry‑level role offers a fixed salary of $102,144 and provides hands‑on experience building data pipelines for a global fintech leader.

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines using SQL, Python, and cloud platforms (AWS/GCP).
• Collaborate with data scientists, product managers, and business analysts to translate business needs into technical solutions.
• Ensure data quality, integrity, and security across multiple financial systems.
• Monitor performance of data workflows and implement optimizations for speed and cost efficiency.
• Document data models, processes, and best practices for cross‑team reuse.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Strong programming skills in SQL and Python; familiarity with Java/Scala is a plus.
• Understanding of relational databases, data warehousing concepts, and cloud services.
• Excellent problem‑solving abilities and a passion for learning emerging data technologies.
• Effective communication skills and ability to work in a collaborative, fast‑paced environment.

Preferred Experience

• Internship or project experience with data pipelines, big‑data tools (Spark, Hadoop), or streaming platforms (Kafka).
• Exposure to fintech or payments industry data.
• Knowledge of CI/CD practices and containerization (Docker, Kubernetes).

What We Offer

• Competitive salary of $102,144 annually.
• Comprehensive benefits package, including health, dental, vision, and 401(k) matching.
• Professional development through mentorship, training programs, and certification support.
• Dynamic, inclusive workplace culture that encourages innovation.

Frequently Asked Questions

What is the salary for the Analyst Program – Data Engineer at Fiserv?

The position offers a fixed annual salary of $102,144.

Do I need prior fintech experience to apply?

Fintech experience is preferred but not required; relevant data engineering projects or internships are sufficient.

What technologies will I work with in this role?

You will work with SQL, Python, cloud platforms (AWS/GCP), and may use tools like Spark, Kafka, Docker, and Kubernetes.