Data Engineer III - ETL

Aumni; Jersey City (NJ); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

JPMorgan Chase & Co. in the Corporate Technology division is seeking a Data Engineer III to design and deliver trusted data collection, storage, and analytics solutions across the enterprise.

You will work on production-grade ETL/ELT pipelines, ensure data quality and security, and collaborate in an agile environment to support business objectives using AI-assisted data processing and modern data platforms.

Qualifications

• 3+ years of data engineering experience with production pipelines.
• Experience building ETL/ELT pipelines with performance tuning and incremental loads.
• Advanced SQL with joins, analytics and window functions.
• Experience with JSON/semi-structured data and schema evolution considerations.
• Git-based workflows and IDEs (Bitbucket/GitHub; IntelliJ).
• Ability to validate AI-assisted outputs and ensure data security and governance.

Responsabilités

• Review controls to safeguard enterprise data.
• Use enterprise-authorized AI capabilities to accelerate data pipeline analysis and documentation.
• Make configuration and customization changes to generate products and advise colleagues.
• Update data models based on new use cases.
• Work with SQL/NoSQL databases and optimize data pipelines.
• Ensure SDLC quality, traceability, and security alignment.

Connaissances

SQL

Databricks Genie Spaces

ThoughtSpot

Oracle

JSON

Git-based workflows

IntelliJ IDEA

AI-assisted data engineering

Formation

Formal training or certification in data engineering

Outils

Databricks Genie Spaces

ThoughtSpot

Oracle

Bitbucket

GitHub

IntelliJ IDEA

Docker

Kubernetes

Description du poste

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorganChase within the Corporate Technology , you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Supports review of controls to ensure sufficient protection of enterprise data
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
• Responsible for making configuration and customization changes to generate a product at business or customer requests and advising colleagues in requests
• Updates logical or physical data models based on new use cases
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
• Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 3+ years applied experience in data engineering, with a track record of developing and deploying business critical pipelines in production.
• Experience across the data lifecycle with hands-on experience in building and optimizing ETL/ELT pipelines (performance tuning, partitioning, file sizing, and incremental loads)
• Proficiency in SQL, including advanced techniques such as joins, analytics and window functions, and query optimization
• Experience working with Databricks Genie Spaces and ThoughtSpot integration to Databricks
• Strong Oracle experience, including DDL/DML and schema design best practices, and Oracle performance tuning (execution plans, indexes, partitioning, and statistics)
• Experience handling JSON and semi-structured data, including parsing, flattening, and schema evolution considerations
• Proficiency with Git-based workflows using Bitbucket and/or GitHub, with comfort working in IntelliJ IDEA or similar integrated development environments
• Strong problem-solving and debugging skills across ingestion, transformation, and serving layers
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
• Experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis and customizing changes in tools to generate product outputs

Preferred qualifications, capabilities, and skills

• Experience enabling or administering Unity Catalog, including catalog and schema design, permissions management, and lineage and metadata patterns
• Understanding of Datalake , Datamesh and Lakehouse architectures
• Exposure to containerization and orchestration technologies such as Docker or Kubernetes
• Familiarity with CI/CD tooling and DevOps practices
• Knowledge of financial services technology or regulated industry environments

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Develop, test, and maintain critical data pipelines and architectures across multiple technical areas