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Financial Services, Banking, Investment Banking, Information Technology

Data Engineer III- Python / Data Lake

New York, New York, United StatesOnsiteFull Time$118,750–$160,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

JPMorgan Chase is seeking a Data Engineer III with Python expertise to join their Consumer and Community Bank division. This role involves designing, developing, and maintaining data pipelines and architectures within an agile team. Responsibilities include ensuring data protection, customizing tools, updating data models, and utilizing SQL and NoSQL databases. The ideal candidate will have formal training or certification in data engineering concepts, 3+ years of applied experience, and expertise in Python, cluster computing frameworks like Spark or Flink, data lakehouse platforms (AWS, Databricks, Hadoop), and orchestration tools like Airflow. Experience with statistical data analysis is also required.

JOB DESCRIPTION

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

As a Data Engineer III- Python / Data Lake at JPMorganChase within the Consumer and Community Bank - Connected Commerce 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
  • Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on data engineering concepts and 3+ years applied experience
  • Experience across the data lifecycle
  • Expertise in Python programming language for data engineering tasks (secondary alternative: Java)
  • Expertise in cluster computing frameworks such as Spark or Flink
  • Experience in building data lakehouse platforms (AWS data lake or Databricks or Hadoop)
  • Experience in building DAGs/workflows using scheduling/orchestration tools (Airflow or AWS Step Functions or similar)
  • Advanced at SQL (e.g., joins and aggregations)
  • Working understanding of NoSQL databases
  • Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Experience customizing changes in a tool to generate product

Preferred qualifications, capabilities, and skills

  • Proficiency in developing data pipelines using AWS services such Glue, EMR, MSK, Kinesis, etc.
  • Experience in using relational data stores (Postgres or similar) and NOSQL data stores (Cassandra or Dynamo or similar)
  • Proficiency in IAC (Terraform)
  • Knowledge of data serialization formats (e.g., JSON, Avro, Protobuf), big-data storage formats (e.g., Parquet, Iceberg, Hudi), data processing methodologies (batch, micro-batching, stream), and data modeling techniques (Dimensional, Data Vault, Kimball, Inmon)

ABOUT US

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

ABOUT THE TEAM
Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You’ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

Sample JPMorganChase interview questions

  • 1

    In a full stack application with high traffic, what would you do to make the application highly efficient?

    system designdifficult
  • 2

    How would you troubleshoot a bug that only happens sometimes?

    technicalmedium
  • 3

    What are the internal workings of the HashMap collections? How does the .add() and .put() methods work to make the get and fetch process as O(1) complexity.

    technicaldifficult
  • 4

    Difference between a hashmap and a hashlist

    technicaldifficult
  • 5

    If some of your REST endpoints are slow and not behaving normally, how would you diagnose the problem, and how would you fix it.

    technicaldifficult

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