Technical Risk Analyst

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

Technical Risk Analyst

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and data flows across modern cloud platforms including Azure, Databricks, Snowflake, and Kafka.

This role focuses on production‑grade data engineering, enabling reliable ingestion, transformation, and delivery of data to analytics, risk, and machine‑learning workloads. This position collaborates closely with analytics, fraud and DevOps teams, ensuring high data quality, availability, and performance.

Key Responsibilities

Data Pipeline & Flow Development

• 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.
• Implement scalable ETL / ELT processes that support analytics, reporting, and machine learning use cases.

Cloud & Platform Engineering

• Build data solutions using cloud‑native patterns (data lakes, lakehouse, data warehouses).
• Integrate data from relational, semi‑structured, and streaming sources.
• Optimize pipeline performance, cost efficiency, and reliability in cloud environments.

Streaming & Event‑Driven Data

• Develop and maintain real‑time and near‑real‑time pipelines using Kafka or equivalent streaming technologies.
• Handle schema evolution, late‑arriving data, and fault tolerance in streaming systems.

Data Quality & Reliability

• Implement data validation, monitoring, and alerting to ensure data accuracy and completeness.
• Troubleshoot pipeline failures and performance issues in production environments.
• Partner with analytics and downstream consumers to resolve data issues efficiently. [microsoft.ai]

Collaboration & Delivery

• Work closely with data analysts, data scientists, and software engineers to understand data requirements.
• Participate in design reviews and contribute to data architecture discussions.
• Document data flows, schemas, and operational processes to support long‑term maintainability.

Minimum Qualifications

• 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.

Preferred Qualifications

• Experience with CI/CD for data pipelines and version control (Git, Azure DevOps, or similar).
• Exposure to lakehouse architectures and columnar formats (Parquet).
• Familiarity with data governance, metadata management, and access controls.
• Experience supporting analytics, BI, or machine‑learning workloads.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Salary Range

$104,000.00 - $160,800.00

These pay ranges apply to employees in Sunnyvale, California. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

This position is not eligible for an annual incentive opportunity and is also not eligible to earn commissions.

Thank you for considering employment with Fiserv.  Please:

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