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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Sr Lead Software Engineer - Big Data Pyspark, Java And AWS

직무엔지니어링
경력리드급
위치Wilmington, Germany, United States
근무오피스 출근
고용정규직
게시2개월 전
지원하기

복지 및 혜택

의료보험

401k

심리상담 지원

교육비 지원

육아휴직

필수 스킬

Java

Python

Spark SQL

AWS

SQL

NoSQL

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking cards Technology Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

As a Lead Data Engineer , you will play a key role on an agile team focused on enhancing, building, and delivering secure, stable, and scalable solutions for data collection, storage, access, and analytics. You will leverage your deep technical expertise and problem-solving skills to drive significant business impact, addressing a wide range of challenges across multiple data pipelines, architectures, and data consumers.

Job responsibilities

  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of diversity, opportunity, inclusion, and respect
  • Design and develop end-to-end data pipelines using Spark SQL, Java, and AWS services
  • Utilize programming languages such as Java and Python, work with NoSQL databases and SQL, and leverage container orchestration services including Kubernetes, along with a variety of AWS tools and services
  • Define and implement database backup, recovery, and archiving strategies
  • Generate advanced data models for one or more teams using firmwide tools, linear algebra, statistics, and geometrical algorithms and approve data analysis tools and processes to ensure consistency and quality

Required qualifications, capabilities, and skills

  • Formal training or certification in software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) - Java
  • 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 AWS cloud technologies, including S3
  • 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
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Practical cloud native experience
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

  • Knowledge on Snowflake
  • Experience with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP
  • In-depth knowledge of the financial services industry and their IT systems

ABOUT US
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. 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.

Equal Opportunity Employer/Disability/Veterans:

ABOUT THE TEAM:

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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JPMorgan Chase 소개

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

직원 수

New York City

본사 위치

$500B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.5

보상

4.0

문화

3.8

커리어

3.2

경영진

2.8

68%

지인 추천률

장점

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

단점

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

연봉 정보

44개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1개 리포트

$139,000

총 연봉

기본급

$107,000

주식

-

보너스

-

$139,000

$139,000

면접 후기

후기 4개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

50%

경험

긍정 25%

보통 75%

부정 0%

면접 과정

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

자주 나오는 질문

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study