hackajob · 9 hours ago
Principal Software Engineer - (Data Engineering / Java / Python) | Risk Technology Engineering & Architecture
Jersey City, NJ
Full-time
Onsite
Lead/Staff
10+ years expHackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Principal Software Engineer at JPMorganChase within the Corporate Risk Technology team, you will provide expertise and engineering excellence to enhance, build, and deliver trusted market-leading technology products.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
Responsibilities
Architect and implement complex, scalable data engineering/ coding frameworks and solutions using modern software design principles
Lead the design and development of secure, high-quality production code for data-intensive applications; review and mentor other engineers
Drive adoption of advanced technical methods and practices aligned with the latest industry standards
Advises cross-functional teams on technological matters within your domain of expertise
Serves as the function’s go-to subject matter expert
Creates durable, reusable software frameworks that are leveraged across teams and functions
Influences leaders and senior stakeholders across business, product, and technology teams
Champions the firm’s culture of diversity, opportunity, inclusion, and respect
Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
Qualification
Required
Formal training or certification on data engineering concepts and 10+ years applied experience
Strong proficiency in Data Engineering, Data Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutions
Expert in one or more programming language(s) eg. Java, Python , C/C++
Advanced working knowledge of relational and NoSQL databases, data lake architectures, data mesh concepts, and data governance
Practical experience with cloud-native data platforms (AWS, Azure, GCP)
Experience leading technical teams and projects as a Tech Lead or Data Architect
Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
Advanced knowledge of software application development and technical processes
Ability to present and effectively communicate with Senior Leaders and Executives
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred
Deep hands-on experience with Spark/PySpark, other big data processing technologies
Experience with modern data technologies and cloud-based solutions, such as Databricks or Snowflake
Expertise in modern, open-source table formats and catalog services for managing large-scale data in data lakes, such as Apache Iceberg
Experience with federated database entitlements such as Immuta or similar tools
Familiarity with data consumption tools like Dremio or Starburst
Knowledge of the financial services industry and their IT systems
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.
51-200 employees
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
Leadership Team
Mark Chaffey
CEO
Phil Kell
VP - Marketplace
Recent News
2025-10-23
2025-09-26
2025-09-12
Company data provided by crunchbase