Jobs · Information Technology · New Jersey

Data Engineer

Mizuho · Iselin, NJ · Yesterday
Information Technology$88k–$105k/yrFull-time

Mizuho’s IT Data team is responsible for the design and development of data products for the entire firm. The team is embarking on an ambitious new project called DEAL (Data Exchange and Abstraction Layer), a next-generation, Data Mesh-based platform implemented in the Mizuho Azure Cloud on Databricks. Data Mesh is a decentralized data architecture where data is owned and managed by domain-specific teams (e.g., Banking, Finance) and curated for downstream consumption. It emphasizes domain-oriented ownership, treating data as a product, providing a self-serve data platform, and using limited federated computational governance.

About the role

In this role, you will develop data solutions for the enterprise using innovative and cutting-edge technologies, including AI tools and models. The solutions you build will be used globally for reporting and analytics, requiring high accuracy, timeliness, and scalability. You will manage large datasets with complex interdependencies in a hands-on software development capacity, collaborating with teams firmwide.

You’ll support the development and maintenance of data pipelines on the Databricks Lakehouse platform using the medallion architecture (Bronze/Silver/Gold). Under the guidance of senior engineers, you will ingest, transform, and validate data while growing your skills across the modern data stack.

Responsibilities

  • Assist in building and maintaining ingestion pipelines that land raw data into the Bronze layer.
  • Support Silver layer transformations under guidance: cleansing, deduplication, and schema enforcement.
  • Write SQL and PySpark for defined transformation tasks.
  • Run and monitor scheduled jobs; help investigate and resolve pipeline failures.
  • Document pipeline logic, transformations, and fixes.
  • Participate in code reviews as a reviewer-in-training and incorporate feedback on your own work.
  • Learn team standards for version control, testing, and deployment.

Requirements

  • 0–2 years of experience in data engineering, analytics, or a related technical role (internships and academic projects count).
  • Foundational SQL skills (joins, aggregations, filtering).
  • Python proficiency with basic OOPS knowledge.
  • Understanding of core data concepts (tables, schemas, relational data).
  • Willingness to learn Databricks, Spark, and cloud technologies.
  • Familiarity with Git or a demonstrated ability to learn version control quickly.

Preferred Qualifications

  • Exposure to Databricks, Apache Spark, or PySpark (coursework or hands-on).
  • Awareness of the medallion architecture and Delta Lake basics.
  • Experience with any cloud platform (Azure, AWS, or GCP).
  • Relevant coursework, bootcamp, or a Databricks certification (e.g., Data Engineer Associate).
  • Experience with data visualization or BI tools.

Skills

  • Eagerness to learn and take feedback.
  • Attention to detail and care for data accuracy.
  • Basic problem-solving and logical thinking.
  • Ability to communicate issues across teams.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Master's degree preferred.
  • Proficiency in programming languages commonly used in data engineering (e.g., Python, Scala).
  • Strong knowledge of database systems, data modeling techniques, and SQL.
  • Proficiency with ETL tools (e.g., Databricks, Azure Data Factory).
  • Experience with big data technologies and frameworks (e.g., Spark, Kafka).
  • Familiarity with cloud platforms and services (e.g., Azure).
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration in a team-oriented environment.
  • Ability to adapt to evolving technologies and business requirements.

Pay

The expected base salary ranges from $88,000 to $105,000. Salary offers are based on relevant skills, training, experience, education, and market factors. Successful candidates are also eligible for a discretionary bonus.

Benefits

  • Medical and dental coverage.
  • 401K retirement plan.

Schedule

Mizuho has a hybrid working program, with remote work opportunities varying by role, department needs, and local laws. Some departments may require greater in-office presence, which will be communicated during the recruitment process.

Company Overview

Mizuho Financial Group, Inc. is the 15th largest bank in the world by total assets (~$2 trillion). With 60,000 employees worldwide, Mizuho offers comprehensive financial services across 35 countries and 800 offices. Mizuho Americas provides corporate and investment banking services in the U.S., Canada, and Latin America, including M&A, restructuring, and private capital advisory through its acquisition of Greenhill. The Americas division employs approximately 3,500 professionals across corporate and investment banking, capital markets, sales & trading, derivatives, FX, custody, and research.

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