hackajob · 11 hours ago
Data Engineer- (AWS/PySpark/ETL)
hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Data Engineer III at JPMorgan Chase, you will design and deliver trusted data solutions while contributing to data modernization efforts and ensuring data quality and performance.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
Responsibilities
Develops secure high-quality production code, and reviews and debugs code written by others
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Collaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives
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
Leverage advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projects
Monitor and executes data quality checks to proactively identify and address anomalies
Ensure data availability and accuracy for analytical purposes
Communicate technical concepts to both technical and non-technical stakeholders
Qualification
Required
Experience with ETL tools like Ab Initio, Informatica, Data Pipeline and workflow management tools (Airflow, etc.)
Strong hands on coding experience with PySpark, Python and AWS
Experience working with modern Data Lakes : (Snowflake, Databricks etc.)
Hands-on practical experience delivering system design, application development, testing, and operational stability
Very strong problem solving skills
Proficiency in automation and continuous delivery methods
Preferred
Advanced in one or more programming language(s) like SQL, Java etc
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)
In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience
Proven leadership and mentoring experience with varying levels of software engineers
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
hackajob
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
Funding
Current Stage
Growth StageTotal Funding
$33MKey Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M
Recent News
2025-10-23
2025-09-26
2025-09-12
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