Lead Data Engineer
JPMorgan Chase2 days ago
Base Salary
$147k - $190k/yr
Responsibilities
- Design, build, and operate production-grade data pipelines for ingesting, cleaning, transforming, and aggregating data from disparate sources.
- Develop logical and physical data models representing user flows, system dependencies, resiliency signals, and risk measures.
- Translate business, risk, and control requirements into technical designs and delivery plans.
- Contribute to data architecture strategy, system interoperability, and integration across business systems.
- Implement data quality, metadata management, governance, lineage, traceability, auditability, and explainability practices.
- Use modern distributed, cloud-based, event-driven, and near-real-time data architecture patterns.
- Manage and optimize relational, NoSQL, and other databases for performance and efficiency.
- Apply automation, version control, code review, testing, documentation, and approved developer-assistance tools to improve engineering delivery.
- Partner with cybersecurity, technology controls, architects, engineers, analysts, and business stakeholders across a matrix organization.
Requirements
- At least 5 years of relevant experience in data engineering, analytics engineering, or data platform engineering across the data lifecycle.
- Strong SQL proficiency and hands-on Python programming experience for data engineering, orchestration, automation, and developer productivity.
- Experience with SQL and NoSQL query paradigms, data modeling, data integration and ETL, data migration, and complex relational data mapping.
- Experience with PostgreSQL, MySQL, and MongoDB, including performance optimization and operational management.
- Familiarity with Apache Spark, Hadoop, and open-source analytics or query engines for big data.
- Experience implementing or partnering on data quality, metadata, and governance controls.
- Understanding of APIs, distributed event streaming, cloud-based environments, and event-driven systems.
- Strong analytical, problem-solving, communication, collaboration, independence, and attention-to-detail skills.
- GraphQL familiarity is preferred.
- A degree or equivalent practical experience in Computer Science, Information Systems, Data Science, or a related field is preferred.
- Experience with scenario generation, resiliency and recovery-risk modeling, explainable operational outputs, statistical and data-science methods, data mining, and data architecture artifacts is preferred.
- TOGAF or cloud/solution architecture certification is a plus.
Benefits
- Competitive total rewards package with role- and location-dependent base salary, potential incentive compensation, and eligible equity awards.
- Health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Employment is contingent on review of criminal conviction history under Section 19 of the Federal Deposit Insurance Act.
- JPMorganChase is an equal opportunity employer and provides reasonable accommodations.
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.