Principal Data & AI Platform Engineer

Fiserv

Principal Engineer designing and building secure AI platforms for Fintech at Fiserv. Collaborating on data pipelines and analytics in regulated environments.

Posted 7/2/2026full-timeBerkeley Heights • New Jersey, New York • 🇺🇸 United StatesLead💰 $110,000 - $186,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing secure data pipelines, analytics platforms, and machine learning workflows, with a strong focus on data quality and governance. Proficient in SQL, Python, and Snowflake, enabling effective integration of analytics and AI capabilities into enterprise applications.

Highest-signal resume keywords

SQL ExpertiseSnowflake ProficiencyETL/ELT Pipeline DevelopmentMachine Learning ImplementationAPI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonETLELTData ModelingMachine LearningData Pipeline DevelopmentAnalyticsData Quality AssuranceFeature Engineering

Tools & Technologies

SnowflakePostgreSQLDynamoDBLLM ArchitecturesMicroservicesREST APIs

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Engineering

Industry Keywords

Data GovernanceAnalytics EngineeringAI PlatformsSecure InferenceEnterprise Reporting

Tech Stack

Tools & technologies

DynamoDBETLMicroservicesPostgresPythonSQL

About the role

Key responsibilities & impact

Design, build, and operate a secure, on-premise analytics and AI platform
Own end-to-end technical delivery—from data ingestion and modeling to AI-driven analytics
Design and implement secure data pipelines to migrate and unify data from PostgreSQL, DynamoDB, and other source databases into Snowflake
Build and optimize ELT/ETL workflows, data models, and schemas in Snowflake
Ensure high data quality and reconciliation between source systems and Snowflake
Build analytics datasets and support enterprise reporting
Enable self-service analytics for business and operations teams
Implement private/self-hosted LLM architectures with secure inference pipelines
Develop ML pipelines for feature engineering, training, validation, and inference
Expose secure APIs for data access, analytics, and AI inference.
Enforce data security and governance across PostgreSQL, Snowflake, and AI platforms.

Requirements

What you’ll need

8+ years of experience in software engineering, data platforms, or analytics engineering
Strong expertise in SQL, with hands‑on experience in Snowflake and PostgreSQL
Proven experience building and operating secure ETL/ELT data pipelines and analytics platforms
Hands‑on experience with machine learning and analytics‑driven AI use cases
Experience working with LLMs in private or on‑prem environments
Proficiency in Python for data processing, analytics, and ML workflows.
Experience integrating analytics and AI capabilities into enterprise applications via APIs and services.
Familiarity with microservices and REST APIs
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Benefits

Comp & perks

Incentive eligible associates may receive a cash bonus and equity awards