Data Engineer (Cloud Data Platforms)

Fiserv•Sunnyvale, CA

2d•$104,000 - $160,800•Onsite

About The Position

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. About your role: As a Data Engineer (Cloud Data Platforms), you will design, build, and maintain scalable data pipelines across modern cloud platforms including Azure, Databricks, Snowflake, and Kafka. You will work closely with analytics, fraud, risk, and DevOps teams to deliver high-quality, reliable data. Your work will enable trusted analytics, reporting, and machine learning solutions that support critical business decisions.

Requirements

2+ years of experience in data engineering, data management, or a related role.
Hands‑on experience building data pipelines using SQL and Python.
Experience working with cloud data platforms (Azure preferred).
Familiarity with Databricks / Apache Spark for data processing.
Experience with data warehouses such as Snowflake.
Basic experience or exposure to Kafka or streaming data pipelines.
Strong understanding of ETL/ELT concepts, data modeling, and data lifecycle management.

Nice To Haves

Experience with CI/CD practices for data pipelines and version control (for example, Git, Azure DevOps, or similar tools).
Experience with lakehouse architectures and columnar data formats (such as Parquet or similar technologies).
Familiarity with data governance practices, metadata management, and access controls within regulated environments.
Experience supporting fraud, risk, or financial services analytics use cases.

Responsibilities

Design, build, and maintain batch and streaming data pipelines using Azure data services, Databricks (Spark), Snowflake, and Kafka.
Develop end-to-end data flows from source systems through ingestion, transformation, and storage layers to support analytics, reporting, and machine learning use cases.
Implement and optimize ETL/ELT processes and data models to ensure performant, cost-efficient, and scalable cloud data solutions.
Build data solutions using cloud-native patterns such as data lakes, lakehouse architectures, and data warehouses, integrating relational, semi-structured, and streaming sources.
Develop and support real-time and near-real-time data pipelines using Kafka or similar streaming technologies, managing schema evolution, late-arriving data, and fault tolerance.
Implement data validation, monitoring, logging, and alerting to ensure data accuracy, completeness, and reliability in production environments, and troubleshoot pipeline issues as needed.
Collaborate with data analysts, data scientists, software engineers, and other stakeholders to understand data requirements, participate in design reviews, and document data flows, schemas, and operational processes.

Benefits

Fuel Your Life program to support your physical, financial, social, and emotional well-being.
Paid holidays and generous time away policies.
No-cost mental health support through Employee Assistance Programs.
Living Proof program to recognize your peers’ extra effort with points redeemable for rewards.
Eight Employee Resource Groups to foster a collaborative culture and expand your network.
Unparalleled professional growth with training, development, and internal mobility opportunities.
Medical, dental, vision, life, and disability insurance options available from day one.
Retirement planning and discounted shares with the Employee Stock Purchase Plan.
Tuition assistance and reimbursement program.
Paid parental, caregiver, and military leave.