We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Employee and Experience Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. In this role, you will help drive our modernization to a Databricks-on-AWS lakehouse, building all new data pipelines using Apache Spark (PySpark) on Databricks.
Job Responsibilities-
Design, build, and maintain new data pipelines on Databricks using PySpark, developing secure, high-quality production code and reviewing and debugging processes implemented by others.
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Optimize and tune PySpark jobs and Databricks clusters for performance, scalability, and cost efficiency (partitioning, caching, and resource management).
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Design and implement scalable data frameworks to manage end-to-end Databricks pipelines for workforce data analytics, applying medallion (bronze/silver/gold) lakehouse patterns.
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Implement data quality checks and validation processes — using Delta Lake and Delta Live Tables expectations — to ensure accuracy and reliability of data.
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Implement robust monitoring and alerting to proactively address data ingestion issues, leveraging Databricks and AWS CloudWatch to optimize performance and throughput.
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Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability, using Databricks Workflows and AWS-native automation.
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Leverage AI and Agentic AI solutions to accelerate data pipeline development, and adopt AI-assisted engineering tools (e.g., Claude, GitHub Copilot) to improve developer productivity and code quality.
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Provision and deliver curated, reliable data sets to our BI partners (who work in Sigma, Tableau, and Alteryx), enabling their reporting and analytics use cases.
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Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
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Contribute to software engineering communities of practice that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect.
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Formal training or certification in software engineering concepts with 3+ years of applied experience in data engineering, including design, application development, testing, and operational stability.
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Advanced, hands-on expertise in Apache Spark (PySpark) for large-scale distributed data processing, with strong proficiency building and operating production pipelines on Databricks (Delta Lake and lakehouse patterns).
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Strong expertise across the AWS data ecosystem, including S3, EMR, Glue, Lambda, and Athena, along with AWS storage and compute services; experience with data formats such as Parquet and Iceberg.
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Strong programming skills in Python for data processing and application development (Java or Scala a plus).
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Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
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Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security.
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In-depth knowledge of the financial services industry and their IT systems.
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Solid SQL and data modeling skills for efficient data management and retrieval (experience with relational databases such as Oracle a plus).
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Experience with scheduling tools like Airflow and Autosys to automate and manage job scheduling for efficient workflow execution.
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Databricks certifications (e.g., Databricks Certified Data Engineer Associate/Professional).
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Familiarity with Generative AI and Agentic AI frameworks, including experience with AI coding assistants such as Claude and GitHub Copilot in an engineering workflow.
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Deeper expertise in the AWS cloud platform and its broader service catalog.
We 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
JPMorganChase San Francisco, California, USA Office
San Francisco, CA, United States
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