Lead Data Engineer
JPMorgan Chase1 month ago
Base Salary
$147k - $190k/yr
Responsibilities
- Design, build, and operate production-grade data pipelines that ingest, clean, transform, and aggregate data from disparate sources.
- Evolve logical and physical data models for user flows, system dependencies, resiliency signals, risk measures, prediction, and decisioning.
- Translate business, risk, and control requirements into technical designs and delivery plans while contributing to data architecture strategy.
- Implement data quality, metadata management, governance, lineage, traceability, reliability, explainability, and auditability practices.
- Apply modern distributed, cloud-based, event-driven, and near-real-time data architecture patterns.
- Use SQL, Python, NoSQL, and database technologies to develop, manage, and optimize data systems.
- Apply version control, CI/CD, code review, testing, documentation, and approved developer-assistance tooling.
- Partner with cybersecurity, technology controls, engineers, architects, 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 productivity.
- Experience with data modeling, data integration and ETL, data migration, and mapping complex relational data across business systems.
- Experience operating and optimizing PostgreSQL, MySQL, and MongoDB databases.
- 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.
- Familiarity with GraphQL is preferred.
- A degree or equivalent practical experience in Computer Science, Information Systems, Data Science, or a related field is preferred.
- Preferred experience includes resiliency and recovery-risk scenario modeling, statistical and data science methods, data mining, data architecture artifacts, TOGAF, or cloud and solution architecture certifications.
Benefits
- Competitive total rewards package with benefits determined by eligibility and role conditions.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may include commission-based pay or discretionary incentive compensation in cash or forfeitable equity.
- JPMorganChase provides reasonable accommodations and supports religious practices, mental health needs, and physical disabilities.
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.