Software Engineer III - Data Engineer
JPMorgan Chase13 hours ago
Responsibilities
- Design, develop, and support scalable Databricks feature engineering solutions for risk analytics, fraud detection, machine learning, and enterprise data products.
- Build and maintain reusable batch and real-time feature pipelines, including onboarding, versioning, testing, monitoring, and lifecycle management.
- Implement data engineering solutions using Databricks, Apache Spark, PySpark, Delta Lake, Lakeflow, and declarative pipeline patterns.
- Modernize the platform by migrating legacy Spark and EMR workloads to Databricks-native and cloud-native architectures.
- Apply software engineering practices including CI/CD, automated testing, code reviews, observability, release management, and production support.
- Use enterprise-approved AI-assisted engineering tools to accelerate development, improve code quality, automate SDLC activities, and identify innovation opportunities.
- Implement data quality, governance, lineage, metadata, retention, security, PCI, and audit controls.
- Develop and support AWS cloud-native solutions using services such as S3, Glue, Lambda, ECS/EKS, Aurora/RDS, and Terraform.
- Participate in architecture reviews and technical decisions concerning performance, stability, cost, resiliency, and scalability.
- Collaborate with data scientists, model developers, business stakeholders, and engineering teams; mentor junior engineers.
Requirements
- Formal training or certification in software engineering, computer science, data engineering, or a related discipline with 3+ years of applied industry experience.
- Hands-on experience with Databricks, Apache Spark, PySpark, Delta Lake, and modern Lakehouse architectures.
- Experience building and supporting large-scale batch and streaming data pipelines.
- Proficiency in Python and SQL with an understanding of distributed computing principles.
- Hands-on experience using enterprise-authorized AI-assisted software development tools and critically evaluating, validating, and refining generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure input and output handling, resiliency, and security expectations.
- Working knowledge of Databricks Unity Catalog, Delta Live Tables, and modern declarative pipeline frameworks.
- Experience with AWS services including S3, Glue, EMR, Lambda, ECS/EKS, and related technologies.
- Experience implementing data-quality, data-governance, and lineage solutions.
- Familiarity with data security controls, encryption, and PCI data handling requirements.
- Preferred certifications include Databricks Data Engineer Associate or Professional and AWS Solutions Architect or Developer certifications.
- Preferred experience includes Databricks Feature Engineering, Feature Store, Feature Views, real-time and event-driven data solutions, Kafka, streaming frameworks, distributed services architectures, platform modernization, Terraform, Snowflake, Databricks SQL, Unity Catalog, and Infrastructure-as-Code practices.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay or discretionary incentive compensation in cash or forfeitable equity.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching are available based on eligibility.
Tech Stack
Categories
Data Engineering
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.