Software Engineer III - Data Engineering- Corporate Know Your Customer

industry-standard practicesAdvise cross-functional teams on technological matters within your domainApply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automationEnhance automation at scale to improve value and efficiencyLead architectural decisions and engineering practices across multiple teamsCollaborate with stakeholders to deliver impactful solutionsChampion best practices in software development and data engineeringSupport a culture of innovation, inclusion, and continuous improvementRequired qualifications, capabilities, and skillsHands-on experience delivering system design, application development, testing, and operational stability at enterprise scaleExpertise in Python and/or PySparkKnowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability

tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governancePractical cloud-native experience (AWS, Azure, or GCP)Ability to present and communicate effectively with senior leaders and executivesCommitment to inclusive, collaborative teamworkGood problem-solving and analytical skillsAdaptability in a fast-paced environmentFocus on delivering secure and scalable solutionsPreferred qualifications, capabilities, and skillsExperience with modern data platforms such as Databricks or SnowflakeDeep hands-on experience with Spark/PySpark and other big data processing technologiesExpertise in open-source table formats and catalog services such as Apache IcebergExperience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)Familiarity with emerging technologies in data engineeringAbility to drive innovation and continuous improvementPassion for mentoring and developing others #J-18808-Ljbffr

Join us to shape the future of financial technology and make a meaningful impact on millions of customers worldwide.As a Software Engineer at JPMorgan Chase in the Corporate Sector’s agile data engineering team, you will promote the development of a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform. You will work across multiple teams, define architecture and engineering standards, and deliver high-impact software that scales. You’ll collaborate with colleagues to implement secure, stable, and scalable solutions, and help shape the team’s culture and technical direction. Your expertise will support the firm’s portfolios and contribute to our ongoing success.Job responsibilitiesDevelop secure, high-quality production code for data-intensive applications and platformsReview code and mentor engineers to foster growth and excellenceCreate durable, reusable software frameworks and patterns for use across teamsDrive adoption of advanced technical methods and