Fiserv

1 day ago

Data & ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Build and maintain data pipelines, ETL workflows, and MLOps capabilities that power Merchant Opportunity Analysis (MOA) and the Offer Engine for Digital Onboarding. Develop ingestion, transformation, validation, and delivery for internal/external data sources, support feature preparation and scoring, and operationalize ML outputs for personalization and offer optimization. Partner with data scientists, backend engineers, and product teams to ensure reliable monitoring, data quality, and production troubleshooting.

Location: Georgia

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build and maintain data pipelines supporting MOA, Offer Engine, customer insights, personalization, and Digital Onboarding use cases.
•Develop ETL workflows and support ingestion, transformation, validation, and delivery of internal and external data sources.
•Support feature preparation, scoring workflows, model output processing, and ML integration patterns.
•Support MLOps activities including deployment workflows, monitoring, model output validation, and operational support.
•Implement data quality checks, error handling, reconciliation logic, pipeline monitoring, and troubleshoot production/integration issues.

Key Requirements

•4+ years of experience in data engineering, ETL development, ML engineering, analytics engineering, or software engineering.
•Hands-on experience with Python and SQL for data pipeline development.
•Experience with ETL/data integration tools such as AWS Glue, Qlik Data Integration, and Snowflake.
•Familiarity with AWS services including S3, Glue, Lambda, SageMaker, and CloudWatch.
•Bachelor’s degree in Computer Science/IT/IS (or equivalent industry experience).

Experience:4+ yearsFintechPaymentsMerchant servicesDigital onboardingDigital acquisitionMLOps

Education:Bachelor's in Computer Science, Information Technology, Information Systems

Skills:Problem-solvingTroubleshootingCollaborationData quality focusEngineering discipline

Certifications:AWS Data AnalyticsCloud Practitioner

Tech Stack:PythonSQLAWS GlueQlik Data IntegrationSnowflakeAWS S3AWS LambdaAWS SageMakerCloudWatchGitCI/CDAgileMLOpsFeature engineeringBatch scoringModel monitoringData modelingETLData pipelinesOrchestration

Company Brief

Fiserv

Provides payments, processing services, risk management, and core banking technology to financial institutions, merchants, and businesses worldwide, enabling digital payments, account processing, and financial services integration.

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Brookfield, United States

Founded: 1984

Website LinkedIn

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Fiserv

1 day ago

Data & ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Georgia

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build and maintain data pipelines supporting MOA, Offer Engine, customer insights, personalization, and Digital Onboarding use cases.
•Develop ETL workflows and support ingestion, transformation, validation, and delivery of internal and external data sources.
•Support feature preparation, scoring workflows, model output processing, and ML integration patterns.
•Support MLOps activities including deployment workflows, monitoring, model output validation, and operational support.
•Implement data quality checks, error handling, reconciliation logic, pipeline monitoring, and troubleshoot production/integration issues.

Key Requirements

•4+ years of experience in data engineering, ETL development, ML engineering, analytics engineering, or software engineering.
•Hands-on experience with Python and SQL for data pipeline development.
•Experience with ETL/data integration tools such as AWS Glue, Qlik Data Integration, and Snowflake.
•Familiarity with AWS services including S3, Glue, Lambda, SageMaker, and CloudWatch.
•Bachelor’s degree in Computer Science/IT/IS (or equivalent industry experience).

Experience:4+ yearsFintechPaymentsMerchant servicesDigital onboardingDigital acquisitionMLOps

Education:Bachelor's in Computer Science, Information Technology, Information Systems

Skills:Problem-solvingTroubleshootingCollaborationData quality focusEngineering discipline

Certifications:AWS Data AnalyticsCloud Practitioner

Company Brief

Fiserv

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Brookfield, United States

Founded: 1984

Website LinkedIn