We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III - Data Engineer at JPMorgan Chase within the Asset and Wealth Management Technology and 55ip team, your role involves taking part in building its research data platform. You are responsible in implementing effective large-scale data solutions in a cloud-based environment.
Job responsibilities
Build high-performance cloud-based data solutions to support quantitative research capabilities: back testing, simulations, machine learning, and other advanced analytics & algorithms
Implement, schedule, and oversee ETL, ELT, and monitoring processes
Oversee the loading of data from vendor and internal data sources
Implement and support automation solutions to improve platform scalability
Monitor the system performance by performing regular tests, troubleshooting, and integrating new features
Provide L2 support for data systems to stakeholder teams
Collaborate with technical teams to design and implement data solutions
Recommend solutions to improve new and existing data systems
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Bachelor's degree in information systems, information technology, computer science, or similar.
Expertise in Structured Query Language (SQL), with s trong Experience with AWS Cloud services/technologies, such as RDS, S3, Lambda, Secrets Manager
Strong Experience in Python, Pandas/Polars, and Numpy, and clear understanding of OOP and software design constructs within a Pythoncontext
Strong Experience in all aspects of software development lifecycle, especially Agile Scrum , along with experience in implementing and monitoring ETL processes
Strong Experience with database technologies, architecture, performance tuning, and scaling
Strong Experience in database design and modeling, experience with Airflow or similar orchestration tools
Experience working with Data Lakes (Iceberg/Delta Table) and experience working with Spark and EMR
Experience working with CI/CD tools for application and database development
Excellent communication (written and oral) and presentation skills, with agility: able to shift gears and react quickly to timely requests
Ability to work with quant researchers & developers to understand requirements, strong attention to detail, pride in delivering high quality work and willingness to learn
Preferred qualifications, capabilities, and skills
Experience working with DuckDB is a plus
Experience with PostgreSQL specifically is a plus
Experience supporting development of AI/ML models
Exposure to financial capital markets data and trading applications, working with investment data
AWS certifications are a plus
Experience with project workflow tools such as Jira in an Agile-Scrum environment
Knowledge of Linux and knowledge of Docker
or continue with email
As a Software Engineer III - Data Engineer at JPMorgan Chase within the Asset and Wealth Management Technology and 55ip team, your role involves taking part in building its research data platform. You are responsible in implementing effective large-scale data solutions in a cloud-based environment.
Job responsibilities
Build high-performance cloud-based data solutions to support quantitative research capabilities: back testing, simulations, machine learning, and other advanced analytics & algorithms
Implement, schedule, and oversee ETL, ELT, and monitoring processes
Oversee the loading of data from vendor and internal data sources
Implement and support automation solutions to improve platform scalability
Monitor the system performance by performing regular tests, troubleshooting, and integrating new features
Provide L2 support for data systems to stakeholder teams
Collaborate with technical teams to design and implement data solutions
Recommend solutions to improve new and existing data systems
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Bachelor's degree in information systems, information technology, computer science, or similar.
Expertise in Structured Query Language (SQL), with s trong Experience with AWS Cloud services/technologies, such as RDS, S3, Lambda, Secrets Manager
Strong Experience in Python, Pandas/Polars, and Numpy, and clear understanding of OOP and software design constructs within a Pythoncontext
Strong Experience in all aspects of software development lifecycle, especially Agile Scrum , along with experience in implementing and monitoring ETL processes
Strong Experience with database technologies, architecture, performance tuning, and scaling
Strong Experience in database design and modeling, experience with Airflow or similar orchestration tools
Experience working with Data Lakes (Iceberg/Delta Table) and experience working with Spark and EMR
Experience working with CI/CD tools for application and database development
Excellent communication (written and oral) and presentation skills, with agility: able to shift gears and react quickly to timely requests
Ability to work with quant researchers & developers to understand requirements, strong attention to detail, pride in delivering high quality work and willingness to learn
Preferred qualifications, capabilities, and skills
Experience working with DuckDB is a plus
Experience with PostgreSQL specifically is a plus
Experience supporting development of AI/ML models
Exposure to financial capital markets data and trading applications, working with investment data
AWS certifications are a plus
Experience with project workflow tools such as Jira in an Agile-Scrum environment
Knowledge of Linux and knowledge of Docker
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