Data Engineer-Associate

Jersey City, NJ, United States

JPMorgan Chase & Co.

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You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.

As a Data Engineer on the Connected Commerce Technology Team, 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 in support of the firm’s business objectives.

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Creates secure and high-quality production code.
  • Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
  • Design & develop data pipelines end to end using Spark SQL, Java and AWS Services. Utilize programming languages like Java, Python, NoSQL databases, SQL, Container Orchestration services including Kubernetes, and a variety of AWS tools and services.
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies.
  • Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • BS Degree in applicable STEM field and 1 year of software development experience 
  • Proficiency in designing, developing, testing, debugging, and maintaining code using Java, Scala, Python.
  • Hands-on practical experience in developing spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark SQL & Spark Streaming. 
  • Experience with Relational and No SQL databases,
  • Cloud implementation experience with AWS including:
    • AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge
    • Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD
    • AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager
  • Proficiency in automation and continuous delivery methods. 
  • Proficient in all aspects of the Software Development Life Cycle.
  • Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security.

Preferred qualifications, capabilities, and skills

  • Snowflake experience 
  • In-depth knowledge of the financial services industry and their IT systems

 

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be 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.

Equal Opportunity Employer/Disability/Veterans

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Airflow Architecture Athena Avro AWS CI/CD Data pipelines ELT Engineering ETL Java JSON Kinesis Kubernetes Lake Formation Lambda NoSQL Parquet Pipelines Python Scala SDLC Security Snowflake Spark SQL STEM Step Functions Streaming Testing

Perks/benefits: Career development Competitive pay Equity Health care Team events Wellness

Region: North America
Country: United States
Job stats:  1  0  0
Category: Engineering Jobs

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