Analyst – Data Products, AI Enablement

MUFG

. Develop and maintain data pipelines, APIs, and microservices that ingest, transform, validate, and deliver structured and unstructured banking data .

Posted 10/15/2026full-timeJersey City • New Jersey • United StatesJunior💰 $85,000 - $126,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines, APIs, and microservices, with a strong foundation in Python and SQL. Proficient in building AI-powered data solutions and leveraging cloud platforms for deployment and automation.

Highest-signal resume keywords

Python DevelopmentData Pipeline EngineeringAI-Powered SolutionsAWS DeploymentSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAPI DevelopmentMicroservicesAI ConceptsMachine LearningData TransformationDocument ProcessingEmbeddingIndexingRetrieval Workflows

Soft Skills

Analytical SkillsProblem-SolvingCommunicationTeamwork

Tools & Technologies

FastAPIAWS LambdaECSReactStreamlitAWS BedrockTextractSnowflake CortexKafkaAirflow

Industry Keywords

Financial ServicesData AnalyticsCloud PlatformsSoftware Development Practices

Tech Stack

Tools & technologies

AirflowAWSCloudKafkaKubernetesMicroservicesPythonReactSparkSQL

About the role

Key responsibilities & impact

Develop and maintain data pipelines, APIs, and microservices that ingest, transform, validate, and deliver structured and unstructured banking data
Build and enhance AI-powered data solutions, including LLM applications, RAG pipelines, semantic search, document intelligence, embeddings, and AI-agent workflows
Develop Python-based services using FastAPI and deploy solutions using AWS Lambda, ECS, containers, and serverless platforms
Build document-processing and intelligent automation solutions using AWS Bedrock, Textract, Snowflake Cortex, and LLM APIs
Develop data ingestion, transformation, chunking, embedding, indexing, and retrieval workflows for enterprise AI applications
Build lightweight user interfaces and internal applications using React, Streamlit, or similar frameworks for business users
Work closely with senior AI and data engineers, data scientists, product teams, and business stakeholders

Requirements

What you’ll need

1-3 years of experience in software engineering, data engineering, analytics, or technology-related roles
Basic to intermediate proficiency in Python and SQL
Exposure to cloud platforms, APIs, databases, data pipelines, or modern software development practices
Foundational knowledge of AI, machine learning, data engineering, or analytics concepts
Strong analytical, problem-solving, communication, and teamwork skills
Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience
Preferred: exposure to Kafka, Airflow, Spark, Kubernetes, AWS, or similar technologies
Preferred: experience through internships, academic projects, or professional work related to data and AI solutions
Financial services experience is a plus
Visa sponsorship/support is based on business needs; sponsorship/support is not anticipated for this position

Benefits

Comp & perks

Discretionary performance-based bonus and/or incentive compensation
Comprehensive health and wellness benefits
Retirement plans
Educational assistance and training programs
Income replacement for qualified employees with disabilities
Paid maternity and parental bonding leave
Paid vacation, sick days, and holidays