DESCRIPTION:
Duties: Design and implement scalable data processing, analytics, and machine learning workflows. Build and manage ETL and data ingestion pipelines to bring diverse datasets into the cloud while maintaining data quality and consistency. Build, optimize, and maintain scalable data infrastructure and cloud-native pipelines to ensure data is clean, reliable, and prepared for Al, machine learning, and analytics. Oversee end-to-end data flow, integration, transformation, and storage while implementing quality controls and troubleshooting to ensure data integrity and performance. Perform data modeling and exploratory data analysis to prepare and analyze data for machine learning solutions and deploy machine learning models. Create dashboards and visualizations to support data-driven decision-making and transform raw data into actionable insights. Maintain product backlogs and document processes to support strategic and operational needs. Collaborate with stakeholders including data scientists, analysts, product managers, and engineering teams to gather requirements, deliver solutions, and communicate project status and risks. Develop, review, and debug code.
QUALIFICATIONS:
Minimum education and experience required: Bachelor's degree in Information Technology, Computer Science, Data Analytics or related field of study plus 7 years of experience in the job offered or as Software Engineer, Technical Lead, IT Consultant, or related occupation.
Skills Required: This position requires five (5) years of experience with the following: Developing applications using Java and Python; Building, deploying, and maintaining enterprise grade data solutions at scale on AWS; Delivering system design, application development, testing, and operational stability using Agile methodologies; Delivering CI/CD processes using Jenkins, AWS Pipelines, GitHub Actions, and version control systems such as Git; Designing and implementing data ingestion pipelines to stream datasets into the cloud data platform using Kafka or Kinesis; Building and managing ETL pipelines; Storing, computing, and orchestrating data using AWS cloud services including S3 for storage, AWS Lambda for event processing, AWS Glue for extract, transform, load and cataloging, and Amazon EC2 for custom or resource intensive processing; Implementing quality controls and troubleshooting issues to maintain data integrity and performance using tools such as Splunk, Grafana, Datadog, AWS CloudWatch, or JMeter.
Job Location: 70 Fargo Street, Boston, MA 02210.
Full-Time. Salary: $186,160 - $215,000 per year.
About UsWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of 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 physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Bachelor's degree in Information Technology, Computer Science, Data Analytics, or a related field
- 7 years of experience in the job offered, Software Engineer, Technical Lead, IT Consultant, or a related occupation
- 5 years of experience developing applications using Java and Python
- 5 years of experience building, deploying, and maintaining enterprise-grade data solutions at scale on AWS
- 5 years of experience delivering system design, application development, testing, and operational stability using Agile methodologies
- 5 years of experience delivering CI/CD processes using Jenkins, AWS Pipelines, GitHub Actions, and Git
- 5 years of experience designing and implementing data ingestion pipelines using Kafka or Kinesis
- 5 years of experience building and managing ETL pipelines
- 5 years of experience using AWS S3, AWS Lambda, AWS Glue, and Amazon EC2 for data storage, processing, and orchestration
- 5 years of experience implementing quality controls and troubleshooting data integrity and performance issues using Splunk, Grafana, Datadog, AWS CloudWatch, or JMeter
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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