Data Engineer, Python, AWS, Databricks jobs in United States
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JPMorganChase · 4 months ago

Data Engineer, Python, AWS, Databricks

JPMorgan Chase is seeking a Software Engineer III to join their Commercial and Investment Bank team. The role involves designing and delivering technology products, focusing on data engineering solutions that support business objectives and ensure data quality and performance.

Asset ManagementBankingFinancial Services
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics
Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplace
Implement best practices for data engineering, ensuring data quality, reliability, and performance
Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
Perform data extraction and implement complex data transformation logic to meet business requirements
Monitor and executes data quality checks to proactively identify and address anomalies
Ensure data availability and accuracy for analytical purposes
Identify opportunities for process automation within data engineering workflows
Deploy and manage containerized applications using Amazon ECS ( Kubernetes EKS)
Implement data orchestration and workflow automation using AWS step , Event Bridge
Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure

Qualification

Data EngineeringPythonAWSDatabricksSQLETL ProcessesTerraformProblem-solvingTeam collaborationAttention to detail

Required

Formal training or certification on Software / Data Engineering concepts and 3+ years applied experience
Experience across the data lifecycle
Experience working with modern Lakehouse: Databricks, Glue
Proficient in SQL coding (e.g., joins and aggregations)
Experience in Micro service based component using ECS or EKS
Experience in building and optimizing data pipelines, architectures, and data sets (Glue or Databricks ETL)
Proficient in object-oriented and object function scripting languages (Python etc.)
Experience in developing ETL process and workflows for streaming data from heterogeneous data sources (Kafka)
Experience building Pipeline on AWS using Terraform and using CI/CD pipelines

Preferred

Advanced knowledge of RDBMS like Aurora, Open Search
Experience with data pipeline and workflow management tools (Airflow, etc.)
Strong analytical and problem-solving skills, with attention to detail
Ability to work independently and collaboratively in a team environment
A proactive approach to learning and adapting to new technologies and methodologies

Company

JPMorganChase

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With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

H1B Sponsorship

JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)

Funding

Current Stage
Public Company
Total Funding
unknown
1998-02-01IPO

Leadership Team

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Allison Beer
CEO of Card Services and Connected Commerce
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Dan Mendelson
CEO, Morgan Health
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Company data provided by crunchbase