Lead Software Engineer - Data Engineer, Python, AWS

JPMorgan Chase & Co. • Plano, TX

1d

About The Position

We have an opportunity to impact your career and provide an adventure where you
can push the limits of what's possible.

As a Lead Software Engineer-Cloud Data/Python/Java/Spark at JPMorgan Chase
within the Consumer and Community Banking's Home Lending and Servicing team,
you will play a crucial role in an agile team dedicated to enhancing, building,
and delivering reliable, market-leading technology products that are secure,
stable and scalable.

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Hands-on professional experience in one or more programming language(s), including Java or Python, proficiency in Python, SQL, and at least one additional language (e.g. Java or Scala) for data engineering tasks
• Hands-on experience utilizing Apache Spark for large-scale data processing, including developing and optimizing data pipelines, performing real-time and batch analytics, and leveraging Spark’s libraries for machine learning and data transformation to drive actionable business insights.
• Experience with infrastructure automation tools such as AWS CloudFormation or Terraform
• Proficiency in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated experience in system design, including architecting scalable and reliable solutions, selecting appropriate technologies, defining system components and their interactions, and ensuring alignment with business requirements and performance goals through detailed documentation and collaborative design reviews.
• Experience with AWS services related to data storage and management, such as AWS Aurora, DynamoDB, S3, and RDS
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• AWS Certifications

Nice To Haves

• Extensive experience working with relational databases such as Oracle, MySQL, and SQL Server, including designing schemas, writing complex queries, optimizing performance, and ensuring data integrity for a variety of business applications.
• Snowflake experience is a plus
• Databricks experience is a plus

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Architect, develop, and deploy scalable data pipelines and solutions on AWS using services such as S3, Redshift, Glue, EMR, Lambda, and Athena
• Create and optimize data models, build robust ETL processes, and ensure efficient ingestation, transformation, and storage
• Monitor, troubleshoot, and tune data pipelines and cloud resources for optimal performance, reliability, and cost efficiency
• Maintain comprehensive documentation of data architectures, processes and best practices; mentor junior engineers and share knowledge within the team
• Stay current with AWS advancements, evaluate new services and tools, and drive continuous improvement in cloud data engineering practices

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees