[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All JPMorganChase jobs](https://jobs.opennash.com/companies/jpmorganchase/) · [Search jobs](/search/) JPMorganChase # Data Engineer III - Senior Associate Ciudad Autónoma de Buenos Aires, Argentina Senior individual contributor Data & Analytics Listed on JPMorganChase’s official careers site. Posted July 28, 2026. Check that it is still open and apply there. [Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210735097) [OpenNash Jobs](https://jobs.opennash.com/) / [JPMorganChase](https://jobs.opennash.com/companies/jpmorganchase/) / Data Engineer III - Senior Associate ## Job description Senior Data Engineer (Data Engineer III) – AWS & Databricks Focus Description As a Data Engineer III at JPMorgan Chase Corporate Sector, you will be a key member of our agile Data Engineering team, designing and delivering trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will develop, test, and maintain critical data pipelines and architectures supporting the firm’s business objectives, with a primary focus on AWS Data Engineering and Databricks. In this role, you will have autonomy to lead projects, mentor junior engineers, and collaborate closely with FinOps professionals to translate cost optimization strategies into technical solutions. Your ideas and contributions will be valued and considered as part of our team’s ongoing innovation. ### Job Responsibilities Design, develop, and maintain scalable ETL pipelines using AWS services (Lambda, Step Functions, S3 storage) and Databricks (Python, PySpark, SQL). Optimize data processing workflows leveraging Apache Spark and Delta Lake within Databricks. Integrate data from various sources (S3, databases, APIs) into Databricks and AWS data stores. Implement and manage data governance, security controls, and access policies using AWS IAM, encryption, and Databricks Unity Catalog. Monitor, troubleshoot, and tune data pipelines for performance and reliability. Automate infrastructure provisioning and deployment using Terraform or AWS CloudFormation. Collaborate with cross-functional teams using Databricks Repos and version control tools. Work closely with FinOps professionals to apply cost optimization strategies and best practices in cloud environments. Mentor junior engineers and provide technical guidance within the team. Update logical or physical data models based on new use cases. Advise colleagues on data engineering best practices and tool configurations. Communicate complex technical concepts to non-technical stakeholders. Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements. Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations. ### Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Extensive experience across the data lifecycle, including data ingestion, transformation, storage, and analytics. Advanced proficiency in SQL (joins, aggregations) and working understanding of NoSQL databases. Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns. Hands-on experience with AWS data engineering services (Lambda, S3, Redshift, RDS, DynamoDB). Experience implementing data governance and security controls in cloud environments. Proficiency in workflow orchestration and automation (AWS Step Functions, Airflow). Experience with infrastructure as code (Terraform, CloudFormation). Strong problem-solving, communication, and collaboration skills. Ability to mentor junior engineers technically and lead projects with autonomy. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements. Advanced English skills ### Preferred Qualifications Experience with Databricks, including ETL development, Spark optimization, and Delta Lake. Familiarity with Databricks Unity Catalog and Repos. Notion of FinOps and cloud cost optimization; willingness to work closely with FinOps professionals. Experience with monitoring tools (AWS CloudWatch, CloudTrail) and cost management dashboards. Financial services industry experience is a plus. ## At a glance - Posted by the employer: Jul 28, 2026 - First seen by OpenNash: Aug 21, 2026 - Last checked: Oct 13, 2026 - Listed for: 77 days - Location: Ciudad Autónoma de Buenos Aires, Argentina[Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210735097) ## More jobs at JPMorganChase ### [AWS Cloud Engineer - Data](https://jobs.opennash.com/companies/jpmorganchase/jobs/4b51f7f7931f0a09726f/) Ciudad Autónoma de Buenos Aires, Argentina ### [AWS Data Engineer Senior](https://jobs.opennash.com/companies/jpmorganchase/jobs/6635af3f847f29f85c4c/) Ciudad Autónoma de Buenos Aires, Argentina ### [Client Onboarding & Documentation Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/431e2a66228ab9a264d9/) Ciudad Autónoma de Buenos Aires, Argentina ### [Data Engineer III - Qlik Sense](https://jobs.opennash.com/companies/jpmorganchase/jobs/42ca6f7af7007be1d01a/) Ciudad Autónoma de Buenos Aires, Argentina ### [Database Specialist — MongoDB](https://jobs.opennash.com/companies/jpmorganchase/jobs/1cb82a8031f7274d0c1c/) Ciudad Autónoma de Buenos Aires, Argentina ## Similar jobs at other companies ### [Data Engineer III](https://jobs.opennash.com/companies/banco-bradesco/jobs/d3620922893ad86e11a1/) Banco Bradesco · Osasco, SP, BR ### [Data Center Critical Facilities Engineer III](https://jobs.opennash.com/companies/equinix/jobs/07937dc02fb76d8a5878/) Equinix · Frankfurt, Germany ### [Data Center Critical Facilities Engineer III](https://jobs.opennash.com/companies/equinix/jobs/87f201a3c48d05a60382/) Equinix · Frankfurt am Main, Germany ### [Data Scientist III,](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/0de57cc35c4d2f6a5574/) Thermo Fisher Scientific · Milan, Milano, Italy OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)