Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

You will design scalable data pipelines and integration solutions, improve testing and delivery practices, and help modernize cloud-based data platforms.

From the employer’s posting

Schwab Technology Services shapes how clients manage their money by delivering innovative, reliable technology products and services. As a Data Engineer supporting Sales & Service, you will develop enterprise data solutions that strengthen critical business processes and advance Schwab’s data platform strategy. You will design scalable data pipelines and integration solutions, improve testing and delivery practices, and help modernize cloud-based data platforms. Using technologies such as Snowflake, Python, SQL, Informatica, Airflow, and Google Cloud Platform, you will solve complex technical challenges and make sound decisions that improve solution quality, performance, and reliability. You will collaborate with product owners, architects, analysts, and business stakeholders to translate evolving requirements into maintainable solutions, adapting your approach as priorities and technologies change. What you have

What you’ll bring

All qualifications

Core experience

Bachelor’s degree in Engineering, Information Systems, Computer Science, a related field, or equivalent practical experience
5+ years of software engineering, data engineering, or enterprise application development experience
Experience designing and implementing enterprise-scale data integration and data engineering solutions
Hands-on experience with Snowflake, Python, Microsoft SQL Server, Google Cloud Platform, Airflow, Informatica IDMC, data modeling, GitHub, and CI/CD practices
Knowledge of change data capture, medallion architecture, reconciliation, data processing, data lakes, and data warehousing
Ability to apply quality assurance, automated testing, and compliance practices to deliver reliable solutions

Preferred experience

Experience in wealth management, financial services, or another regulated industry
Experience contributing to large-scale cloud modernization or data platform transformation initiatives
Experience with DevOps, observability, production support, performance optimization, and automated testing
Ability to identify process improvement opportunities and implement practical, scalable solutions

Qualification wording

Bachelor’s degree in Engineering, Information Systems, Computer Science, a related field, or equivalent practical experience

5+ years of software engineering, data engineering, or enterprise application development experience

Experience designing and implementing enterprise-scale data integration and data engineering solutions

Hands-on experience with Snowflake, Python, Microsoft SQL Server, Google Cloud Platform, Airflow, Informatica IDMC, data modeling, GitHub, and CI/CD practices

Knowledge of change data capture, medallion architecture, reconciliation, data processing, data lakes, and data warehousing

Ability to apply quality assurance, automated testing, and compliance practices to deliver reliable solutions

Experience in wealth management, financial services, or another regulated industry

Experience contributing to large-scale cloud modernization or data platform transformation initiatives

Experience with DevOps, observability, production support, performance optimization, and automated testing

Ability to identify process improvement opportunities and implement practical, scalable solutions

Tools in this posting

Python
SQL
Snowflake
Airflow
Google Cloud (GCP)
SQL Server

Source

Schwab Technology Services shapes how clients manage their money by delivering innovative, reliable technology products and services. As a Data Engineer supporting Sales & Service, you will develop enterprise data solutions that strengthen critical business processes and advance Schwab’s data platform strategy. You will design scalable data pipelines and integration solutions, improve testing and delivery practices, and help modernize cloud-based data platforms. Using technologies such as Snowflake, Python, SQL, Informatica, Airflow, and Google Cloud Platform, you will solve complex technical challenges and make sound decisions that improve solution quality, performance, and reliability. You will collaborate with product owners, architects, analysts, and business stakeholders to translate evolving requirements into maintainable solutions, adapting your approach as priorities and technologies change. What you have

- Experience designing and implementing enterprise-scale data integration and data engineering solutions - Hands-on experience with Snowflake, Python, Microsoft SQL Server, Google Cloud Platform, Airflow, Informatica IDMC, data modeling, GitHub, and CI/CD practices - Knowledge of change data capture, medallion architecture, reconciliation, data processing, data lakes, and data warehousing

- Experience in wealth management, financial services, or another regulated industry - SnowPro, Google Cloud, Cloud Data Engineering, or a related professional certification - Experience contributing to large-scale cloud modernization or data platform transformation initiatives

Posting record

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Status in our records: Live
First seen by us: Oct 13, 2026 · 3d ago
Recorded sightings: 13
Last seen by us: Oct 15, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Job description

View original posting ↗

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 shapes how clients manage their money by delivering innovative, reliable technology products and services. As a Data Engineer supporting Sales & Service, you will develop enterprise data solutions that strengthen critical business processes and advance Schwab’s data platform strategy.

You will design scalable data pipelines and integration solutions, improve testing and delivery practices, and help modernize cloud-based data platforms. Using technologies such as Snowflake, Python, SQL, Informatica, Airflow, and Google Cloud Platform, you will solve complex technical challenges and make sound decisions that improve solution quality, performance, and reliability. You will collaborate with product owners, architects, analysts, and business stakeholders to translate evolving requirements into maintainable solutions, adapting your approach as priorities and technologies change.

What you have

Required Qualifications

Bachelor’s degree in Engineering, Information Systems, Computer Science, a related field, or equivalent practical experience
5+ years of software engineering, data engineering, or enterprise application development experience
Experience designing and implementing enterprise-scale data integration and data engineering solutions
Hands-on experience with Snowflake, Python, Microsoft SQL Server, Google Cloud Platform, Airflow, Informatica IDMC, data modeling, GitHub, and CI/CD practices
Knowledge of change data capture, medallion architecture, reconciliation, data processing, data lakes, and data warehousing
Ability to apply quality assurance, automated testing, and compliance practices to deliver reliable solutions
Demonstrated Problem Solving, Communication, Cross-Functional Collaboration, Stakeholder Management, and Adaptability skills

Preferred Qualifications

Experience in wealth management, financial services, or another regulated industry
SnowPro, Google Cloud, Cloud Data Engineering, or a related professional certification
Experience contributing to large-scale cloud modernization or data platform transformation initiatives
Experience with DevOps, observability, production support, performance optimization, and automated testing
Ability to identify process improvement opportunities and implement practical, scalable solutions
Ability to produce concise, well-structured technical and business documentation

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

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on www.schwabjobs.com. The employer’s form will show what is required.

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Source details

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Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Southlake, TX; Austin, TX; Chicago, IL
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 shapes how clients manage their money by delivering innovative, reliable technology products and services. As a Data Engineer supporting Sales & Service, you will develop enterprise data solutions that strengthen critical business processes and advance Schwab’s data platform strategy.
More source context
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:
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at www.schwabjobs.com ↗Read the full description ↓

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