Senior Data Engineer

Charles Schwab

Austin (TX)

On-site

USD 140,000 - 190,000

Full time

43 hours ago
Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

401(k) with company match
Paid time off + volunteering + sabbatl
Parental leave
Tuition reimbursement
Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Senior Data Engineer to lead the design, development, and modernization of enterprise-scale cloud data solutions. You will collaborate with product owners, architects, analysts and business stakeholders to build resilient data products and scalable pipelines.

The role combines hands-on development with technical leadership in a regulated financial services environment. Ideal candidates will have 10+ years in data or software engineering, extensive Snowflake, Python,

Qualifications

  • 10+ years of software, data engineering, or enterprise application development.
  • 10+ years delivering enterprise-scale data integration and data engineering solutions.
  • Deep experience with Snowflake, Python, SQL Server, GCP, Airflow, GitHub, and CI/CD.
  • Strong data modeling, data integration, and data warehousing expertise.
  • Proven ability to build secure, scalable data pipelines and platforms.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Design, develop, and modernize enterprise-scale cloud data solutions.
  • Partner with product owners, architects, analysts, and stakeholders to translate requirements.
  • Lead hands-on development and drive engineering direction, mentoring teammates.
  • Ensure secure, scalable, and highly available data pipelines and platforms.

Skills

Data modeling
Data integration
Data warehousing
Mentoring
Stakeholder management
Communication
Leadership

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems

Tools

GitHub
Apache Airflow
Snowflake
Google Cloud Platform (GCP)
Informatica IDMC
Microsoft SQL Server
CI/CD practices

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 Technology Services (STS) enables the future of how clients manage their money through innovative, scalable, and secure technology solutions. As a Senior Data Engineer within the Sales & Service Data Engineering organization, you will play a critical role in advancing strategic Wealth Management and Financial Services initiatives that support client experiences, business growth, and operational excellence.

In this highly visible role, you will lead the design, development, and modernization of enterprise-scale cloud data solutions that power critical business capabilities across Sales & Service platforms. You will partner closely with product owners, architects, analysts, and business stakeholders to solve complex data challenges, improve decision-making, and deliver resilient, trusted, and scalable data products. Your expertise will help shape the organization’s long‑term data strategy while accelerating cloud modernization efforts leveraging Snowflake, Google Cloud Platform (GCP), Airflow, Salesforce integrations, and modern engineering practices.

Success in this role requires strong problem‑solving skills, sound technical judgment, and the ability to balance innovation with reliability in a highly regulated environment. You will influence engineering direction through hands‑on development, technical leadership, mentoring, and collaboration across cross‑functional teams. This is an opportunity to make a meaningful impact while helping drive the future of cloud‑based data engineering at Schwab.

What you have
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 10+ years of experience in software engineering, data engineering, or enterprise application development.
  • 10+ years of hands‑on experience designing, developing, and delivering enterprise‑scale data integration and data engineering solutions.
  • Advanced experience with Snowflake, Python, Microsoft SQL Server, Informatica IDMC, Google Cloud Platform (GCP), Apache Airflow, GitHub, and CI/CD practices.
  • Strong expertise in data modeling, data integration, data warehousing, and data lake architectures.
  • Experience implementing modern data engineering practices, including change data capture, reconciliation frameworks, medallion architecture, data transformation, and data quality solutions.
  • Demonstrated ability to build secure, scalable, and highly available data pipelines and data platforms.
  • Strong experience troubleshooting complex production issues, performing root cause analysis, and driving continuous improvement initiatives.Proven ability to collaborate effectively with business and technology stakeholders to translate requirements into scalable technical solutions.
  • Excellent communication, mentoring, leadership, and stakeholder management skills.
Preferred Qualifications
  • 3+ years of experience supporting Wealth Management, Financial Services, or other highly regulated industries.
  • SnowPro certification or advanced Snowflake credentials.
  • GCP Professional Data Engineer or related cloud certifications.
  • Experience leading cloud modernization, digital transformation, or enterprise data platform initiatives.
  • Knowledge of enterprise data governance, security, compliance, and risk management practices.
  • Experience mentoring engineers and leading technical workstreams within Agile delivery teams.
  • Familiarity with Salesforce data integrations and customer experience platforms.
  • Experience driving DevSecOps, observability, and automation initiatives across large-scale engineering organizations.

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

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance
Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Data Engineering Lead
Data Engineering Lead

Charles Schwab • Southlake (TX)

On-site
USD 120,000 - 160,000
401(k) with company match
Paid parental leave
Health, dental, and vision insurance
Senior Data Engineer
Senior Data Engineer

Charles Schwab • Southlake (TX)

On-site
USD 130,000 - 180,000
401(k) with company match
Employee stock purchase plan
Vacation and sabbatical after years of
+3
Senior Data Engineer, Client Authentication
Senior Data Engineer, Client Authentication

Charles Schwab • Austin (TX)

On-site
USD 100,000 - 140,000
401(k) with company match
Paid time for vacation and volunteering
Tuition reimbursement
+1
Manager, Data Engineering
Manager, Data Engineering

Charles Schwab • Austin (TX)

Hybrid
USD 120,000 - 160,000
401(k) match
Employee stock purchase plan
Vacation and sabbatical
+4
Senior Team Manager, Cloud Data & AI Platform Engineering
Senior Team Manager, Cloud Data & AI Platform Engineering

Charles Schwab • Southlake (TX)

Hybrid
USD 190,000 - 270,000
401(k) with company match
Sabbatical after 5 years
Parental leave and family benefits
+2
Senior Software Engineer (Data Engineering)
Senior Software Engineer (Data Engineering)

Charles Schwab • Southlake (TX)

Hybrid
USD 100,000 - 140,000
401(k) with company match
Paid time for vacation and volunteering
Paid parental leave
+2
Production Support Engineer
Production Support Engineer

Charles Schwab • Austin (TX)

On-site
USD 80,000 - 100,000
401(k) with company match
Paid parental leave
Tuition reimbursement
+2
Staff Data Scientist
Staff Data Scientist

Charles Schwab • Southlake (TX)

Hybrid
USD 150,000 - 190,000
401(k) with company match
Sabbatical every 5 years
Parental leave and family benefits
+2
Tech Lead_Sr Manager, Software Development & Engineering
Tech Lead_Sr Manager, Software Development & Engineering

Charles Schwab • Austin (TX)

On-site
USD 140,000 - 210,000
Senior Software Development Engineer- AI Engineering & Operations
Senior Software Development Engineer- AI Engineering & Operations

Charles Schwab • Austin (TX)

On-site
USD 140,000 - 190,000
401(k) with company match
Employee stock purchase plan
Sabbatical after 5 years
+3