JPMorganChase · 5 hours ago
Software Engineer III- ETL/ELT Pipelines / Python / Pyspark/ AWS
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. They are seeking a Software Engineer III to design and deliver technology products within the Asset and Wealth Management Technology Team, focusing on scalable data solutions and ETL/ELT pipelines.
Asset ManagementBankingFinancial Services
Responsibilities
Design and implement scalable data solutions that align with business objectives and technology strategies and technical troubleshooting with ability to think beyond routine or conventional approaches to build and support solutions or break down technical problems
Design, develop, and optimize robust ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments
Develop and support secure high-quality production code, and review and debug code written by others
Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications
Monitor and tune ETL processes for efficiency, resilience and scalability, including alerting for data quality issues
Work closely with stakeholders to identify opportunities for data-driven improvements and efficiencies
Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams
Stay current on emerging ETL and data engineering technologies with industry trends to drive innovation
Qualification
Required
Formal training or certification in software engineering with 3+ years of applied experience
Proficient in coding in one or more languages including Python
Strong hands-on coding proficiency in Python, PySpark, Apache Spark, SQL, and with AWS cloud services such as AWS EMR, S3, Athena, Redshift
Hands-on experience with AWS cloud and data lake platforms, Snowflake, Databricks etc
Proven experience in ETL/ELT pipeline development and with large-scale data processing with SQL
Practical experience implementing data validation, cleansing, transformation, and reconciliation processes to ensure high-quality, trustworthy datasets
Experience with cloud-based data warehouse migration and modernization
Proficiency in automation and continuous delivery methods and understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Excellent problem-solving and troubleshooting skills, with ability to optimize performance and troubleshoot complex data pipelines
Strong communication and documentation abilities
Ability to collaborate effectively with business and technical stakeholders
Preferred
Knowledge of Apache Iceberg
Knowledge of the financial services industry and 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
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
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