Lead Data Engineer - Python, Databricks

Posted 3 Hours Ago
Be an Early Applicant
2 Locations
Hybrid
Entry level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Designs, builds, and maintains secure, scalable data pipelines and architectures using Python and Databricks. Develops data models, manages database backup and recovery strategies, resolves data quality issues, evaluates access controls, and optimizes workflow performance. Collaborates with cross-functional agile teams to deliver reliable enterprise data solutions and support analytics, reporting, security, and operational resilience.
Summary Generated by Built In

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents are valued and celebrated. At JPMorganChase, you'll help create a brighter future and make a meaningful difference through impactful data engineering. You'll work with agile teams to deliver trusted solutions that power our business. We foster a culture of inclusion, opportunity, and respect. Your contributions will help shape the future of technology.

As a Lead Data Engineer in the Compute Infrastructure Platforms team, you will design, build, and maintain critical data pipelines and architectures. You will collaborate with agile teams to deliver secure, stable, and scalable data solutions that support the firm's business objectives. Your expertise will ensure high-quality data collection, storage, access, and analytics. You will help drive innovation and operational excellence. Together, we'll create solutions that make a difference.

Job Responsibilities

  • Design and deliver scalable, secure, and reliable data pipelines using Python and Databricks to support enterprise-level business needs.
  • Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions.
  • Drive root cause analysis and corrective action for data quality issues, ensuring consumers can trust the data they rely on.
  • Implement and manage database backup, recovery, and archiving strategies to ensure data availability and resilience.
  • Evaluate and report on access control processes to determine the effectiveness of data asset security with minimal supervision.
  • Collaborate with cross-functional teams to define data requirements and deliver solutions aligned with business objectives.
  • Identify opportunities to optimize data workflows and improve overall pipeline performance and efficiency.
  • Contribute to a team culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

  • Formal training or certification on data engineering concepts and advanced applied experience.
  • Hands-on experience developing and maintaining data pipelines using Python.
  • Proficiency with Databricks for large-scale data processing and analytics.
  • Experience working with both relational and NoSQL databases.
  • Proficiency across the full data lifecycle, including ingestion, transformation, storage, and access.
  • Experience implementing database backup, recovery, and archiving strategies.
  • Strong understanding of data quality principles and experience driving root cause analysis for data issues.

Preferred qualifications, capabilities, and skills

  • Experience working with enterprise-level datasets in a large, complex organization.
  • Familiarity with cloud-based data platforms and modern data architecture patterns.
  • Experience in site reliability engineering or infrastructure deployment roles.
  • Knowledge of data governance, access control, and security best practices.
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
  
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.
About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Skills Required

  • Formal training or certification in data engineering concepts
  • Advanced applied experience with data engineering concepts
  • Hands-on experience developing and maintaining data pipelines using Python
  • Proficiency with Databricks for large-scale data processing and analytics
  • Experience working with relational and NoSQL databases
  • Proficiency across the data lifecycle, including ingestion, transformation, storage, and access
  • Experience implementing database backup, recovery, and archiving strategies
  • Strong understanding of data quality principles and experience conducting root cause analysis for data issues
  • Experience working with enterprise-level datasets in a large, complex organization
  • Familiarity with cloud-based data platforms and modern data architecture patterns
  • Experience in site reliability engineering or infrastructure deployment roles
  • Knowledge of data governance, access control, and security best practices

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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