Job Description

Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab Data is transforming enterprise analytics through a secure, scalable, self-service ecosystem that enables business teams to turn data into meaningful insights with greater speed and independence.

As a Software Engineer on the Self-Service Analytics Platform team, you will strengthen the reliability and evolution of a critical platform used by analytics teams across Schwab. You will solve complex production issues, improve platform health and resilience, and help modernize legacy Batch Framework workloads by migrating them to Farnam. Using problem-solving and decision-making skills, you will identify root causes, automate support processes, and implement sustainable improvements across Linux environments.

You will collaborate with Architecture, scheduling partners, and business teams to guide platform changes, onboard users, strengthen security, and improve the developer experience. Your adaptability and technical expertise across Python, .NET, Java, SQL, APIs, and cloud-based data services will help deliver scalable, dependable analytics capabilities.

What you have

What You Have

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 5+ years of software engineering experience with a focus on object-oriented programming using technologies such as Python, .NET, Java, or Perl
• Advanced Python and .NET experience supporting platform enhancements and automating maintenance activities
• Strong UNIX or Linux, SQL, and IT infrastructure experience
• Demonstrated problem-solving and technical troubleshooting skills, including root-cause analysis and production issue resolution
• Ability to collaborate across functions, make sound technical decisions, and adapt to changing platform priorities

Preferred Qualifications

• Experience leading technical initiatives or providing direction to small engineering teams
• Experience managing cloud services through provisioning, monitoring, scaling, and decommissioning
• Experience supporting production operations in a high-availability environment
• Experience with data migration, batch processing, scheduling, or orchestration technologies such as Control-M
• Experience with BigQuery, APIs, Java, C#/.NET, source control, and release procedures
• Knowledge of security, compliance, disaster recovery, and operational resilience practices
• Experience working within Agile methodologies and using GitHub, Bitbucket, Jira, or Remedy

In addition to the salary range, this role is eligible for bonus or incentive opportunities.