Principal Data Engineer - Machine Learning
JPMorgan Chase & Co.About the role
Join our Payments AI/ML Team as a Principal Data Engineer. As a vital core member of an agile team, your innovative spirit and unparalleled knowledge is a catalyst for change and serves as an inspiration for bringing innovative solutions to life. Your visionary leadership and pursuit of excellence makes a lasting impact on the firm and industry.
As a Principal Data Engineer at JPMorgan Chase within the Corporate Investment Bank Payments AI/ML Team, you will collaborate with all lines of business and functions to deliver innovation, efficient solutions. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMorgan Chase.
Job responsibilities
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Collaborates with all of JPMorgan’s lines of business and functions to delivery software solutions.
- Experiment, Architect, develop and productionize efficient Data pipelines, Data services and Data platforms contributing to the Business.
- Designs and implements highly scalable, efficient and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
- Acts on previously identified opportunities to converge physical, IT, and data security architecture to manage access
- Mentors and coaches junior engineers and technologists.
- Champions the firm’s culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Collaborates with all of JPMorgan’s lines of business and functions to delivery software solutions.
- Experiment, Architect, develop and productionize efficient Data pipelines, Data services and Data platforms contributing to the Business.
- Designs and implements highly scalable, efficient and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
- Acts on previously identified opportunities to converge physical, IT, and data security architecture to manage access
- Mentors and coaches junior engineers and technologists.
- Champions the firm’s culture of diversity, equity, inclusion, and respect
Preferred qualifications, capabilities, and skills
- Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes.
- Experience in big data technologies: Hadoop, Hive, Spark, Kafka.
- Experience in distributed system design and development
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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 ph
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