Software Engineer - Job Opportunity at Charles Schwab

Lone Tree, US
Full-time
Mid-level
Posted: April 3, 2025
Hybrid
USD 120,000 - 160,000 per year based on location and experience requirements

Benefits

Competitive 401(k) matching program with comprehensive investment options
Premium health insurance coverage with dental and vision benefits
Employee stock purchase plan enabling wealth building
Industry-leading parental leave policies
Innovative 28-day sabbatical program after 5 years
Comprehensive tuition reimbursement supporting continuous learning
Flexible work arrangements promoting work-life balance
Volunteering time off demonstrating community commitment

Key Responsibilities

Lead development of enterprise-scale ETL workflows and database applications supporting $500B+ in assets
Architect and implement data engineering infrastructure for critical financial forecasting
Design and maintain automated QA/QC frameworks ensuring data integrity
Drive DevOps best practices and CI/CD implementation across teams
Collaborate with cross-functional stakeholders to deliver strategic data solutions
Provide technical mentorship and code review leadership
Optimize system performance and reliability for mission-critical financial operations

Requirements

Education

Bachelors in Computer Science, Engineering or Information Technology. Masters preferred

Experience

3+ years

Required Skills

Python and object-oriented programming SQL and relational database concepts Statically-typed language (C++, C#, Java) DevOps tools and CI/CD practices Agile development methodologies Critical-thinking and problem-solving ETL and database applications
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

Financial institutions are increasingly investing in data engineering capabilities to support risk management and regulatory compliance Integration of cloud technologies with traditional banking infrastructure is creating new architectural challenges Growing emphasis on real-time data processing and analytics in treasury operations

Role Significance

Likely part of a 5-8 person specialized data engineering team within larger treasury operations
Mid to senior-level position with significant technical ownership and architectural decision-making authority

Key Projects

Net interest revenue forecasting systems Market risk assessment platforms Balance sheet optimization tools Data quality and governance frameworks

Success Factors

Deep understanding of financial data structures and relationships Ability to balance technical excellence with business requirements Strong collaboration skills across technical and non-technical teams Proactive problem-solving approach with focus on automation

Market Demand

High demand role with significant growth potential due to financial sector's digital transformation initiatives

Important Skills

Critical Skills

Python expertise for complex financial data processing SQL proficiency for large-scale data management DevOps practices for reliable deployment Financial domain knowledge for effective solution design

Beneficial Skills

Cloud platform experience, particularly GCP BI tool expertise for data visualization Front-end development skills for full-stack capability

Unique Aspects

Direct impact on treasury operations managing $500B+ in assets
Blend of traditional finance and modern technology stack
Opportunity to shape data engineering practices at enterprise scale

Career Growth

2-3 years in role before advancement opportunity, depending on project success and leadership demonstration

Potential Next Roles

Lead Data Engineer Technical Architect Engineering Manager Solutions Architect

Company Overview

Charles Schwab

Charles Schwab is a leading financial services firm managing over $7 trillion in client assets

Top-tier financial services provider with strong technology focus and stable growth trajectory
Major employer in Colorado technology sector with significant investment in local talent
Professional environment balancing financial sector stability with technology innovation
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.