Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Southlake, TX; Austin, TX
Live, first seen by us 30 days agoDesign, build and maintain real-time data pipelines and data services
Translate business requirements into dimensional data models using Erwin
Provide schema and data movement design guidance to business partners
Mentor and support junior team members
Maintain documentation and ensure compliance with published standards
Designing, implementing, and maintaining data services, interfaces, and real-time data pipelines
Capturing, modeling, and documenting views of enterprise data at contextual, conceptual, and logical levels of abstraction using Erwin
provide prescriptive design guidance on the best fit schema design, data movement, processing, and analytical patterns for dimensional data
Mentoring, motivating, and supporting the team to achieve objectives and goals
maintain documentation and ensure compliance with published policies and standards
5+ years of experience working with partners documenting business requirements and translating those requirements into dimensional data models using Erwin • 5+ years of experience writing complex SQL and advanced performance tuning • Current Expertise with GcP
3+ years of experience designing, building, testing, and supporting near real-time data pipelines and analytical solutions using modern cloud technologies such as BigQuery, Airflow, Informatica IDMC, etc. • 3+ years of experience working on agile teams delivering data solutions • 1+ years of experience working with omni channel customer interaction data, translating requirements into data models, pipelines, coordinating with downstream partners and assisting them with any of their consumption requirements • Strong written and verbal communication skills, ability to clearly convey complex ideas, deliver feedback, and influence teams across organizational boundaries • Ability to define and solve complex problems with ambiguous or incomplete data in distributed systems • Demonstrated ability to lead medium/large projects, coordinating activities of other personnel and delegating work appropriately to ensure delivery on-time, as promised • Commitment to quality—driving high standards including writing and executing tests at all levels • Demonstrated mindset of continuous improvement and learning
401(k) with company match and Employee stock purchase plan
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 30
Similar jobs usually come down between day 6 and day 54.
At Charles Schwab, jobs usually come down by about day 34.
From 11,206 similar postings that came down, and 98 of Charles Schwab’s. Coming down is not always a hire.
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Preferred Qualifications • Experience using object-oriented languages (.Net, Java, Python) to deliver data for near real-time, streaming analytics • Experience with data quality and data governance frameworks • Experience writing automated unit, integration, and acceptance tests for data interfaces & data pipelines • Ability to quickly comprehend the functions and capabilities of new technologies, and identify the most appropriate use for them • Bachelor’s degree in computer science, Data Engineering, Mathematics, Analytics, or related field In addition to the salary range, this role is also eligible for bonus or incentive opportunities
Required Qualifications • 5+ years of experience working with partners documenting business requirements and translating those requirements into dimensional data models using Erwin • 5+ years of experience writing complex SQL and advanced performance tuning • Current Expertise with GcP • 3+ years of experience designing, building, testing, and supporting near real-time data pipelines and analytical solutions using modern cloud technologies such as BigQuery, Airflow, Informatica IDMC, etc. • 3+ years of experience working on agile teams delivering data solutions • 1+ years of experience working with omni channel customer interaction data, translating requirements into data models, pipelines, coordinating with downstream partners and assisting them with any of their consumption requirements • Strong written and verbal communication skills, ability to clearly convey complex ideas, deliver feedback, and influence teams across organizational boundaries • Ability to define and solve complex problems with ambiguous or incomplete data in distributed systems • Demonstrated ability to lead medium/large projects, coordinating activities of other personnel and delegating work appropriately to ensure delivery on-time, as promised • Commitment to quality—driving high standards including writing and executing tests at all levels • Demonstrated mindset of continuous improvement and learning
• 5+ years of experience working with partners documenting business requirements and translating those requirements into dimensional data models using Erwin • 5+ years of experience writing complex SQL and advanced performance tuning • Current Expertise with GcP • 3+ years of experience designing, building, testing, and supporting near real-time data pipelines and analytical solutions using modern cloud technologies such as BigQuery, Airflow, Informatica IDMC, etc. • 3+ years of experience working on agile teams delivering data solutions • 1+ years of experience working with omni channel customer interaction data, translating requirements into data models, pipelines, coordinating with downstream partners and assisting them with any of their consumption requirements • Strong written and verbal communication skills, ability to clearly convey complex ideas, deliver feedback, and influence teams across organizational boundaries • Ability to define and solve complex problems with ambiguous or incomplete data in distributed systems • Demonstrated ability to lead medium/large projects, coordinating activities of other personnel and delegating work appropriately to ensure delivery on-time, as promised • Commitment to quality—driving high standards including writing and executing tests at all levels • Demonstrated mindset of continuous improvement and learning Preferred Qualifications
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Yes. We’ve followed 2 other Data Engineer jobs there since June 2026. One came down after 125 days. One is still up.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning.
Would you like to be part of a new team chartered to build the next generation data & analytics platform supporting Customer Analytics? As part of Schwab's Client Analytics Technology team, you will contribute to the development and deployment of data assets instrumental in capturing our clients' activity, which is used to inform critical business decisions and elevating our clients' experiences. You’ll collaborate with data engineering & analytics teams to design and deliver new data pipelines, support data analysts and data scientists, maintain documentation and ensure compliance with published policies and standards, while mentoring junior team members and supporting their technical and professional growth.
• Collaborating with business partners to understand data requirements and use cases for a portfolio of applications, provide prescriptive design guidance on the best fit schema design, data movement, processing, and analytical patterns for dimensional data
• Capturing, modeling, and documenting views of enterprise data at contextual, conceptual, and logical levels of abstraction using Erwin
• Designing, implementing, and maintaining data services, interfaces, and real-time data pipelines via the practical application of existing, new, and emerging technologies and data engineering techniques
• Partnering with platform architects to ensure implementations meet published platform principles, guidelines, and standards
• Mentoring, motivating, and supporting the team to achieve objectives and goals
• Advocating for agile practices to increase delivery throughput
• Designing and maintaining solutions consistent with published standards
To ensure that we have fulfilled our promise of 'challenging the status quo,' this role has specific qualifications that successful candidates should have.
Required Qualifications
• 5+ years of experience working with partners documenting business requirements and translating those requirements into dimensional data models using Erwin
• 5+ years of experience writing complex SQL and advanced performance tuning
• Current Expertise with GcP
• 3+ years of experience designing, building, testing, and supporting near real-time data pipelines and analytical solutions using modern cloud technologies such as BigQuery, Airflow, Informatica IDMC, etc.
• 3+ years of experience working on agile teams delivering data solutions
• 1+ years of experience working with omni channel customer interaction data, translating requirements into data models, pipelines, coordinating with downstream partners and assisting them with any of their consumption requirements
• Strong written and verbal communication skills, ability to clearly convey complex ideas, deliver feedback, and influence teams across organizational boundaries
• Ability to define and solve complex problems with ambiguous or incomplete data in distributed systems
• Demonstrated ability to lead medium/large projects, coordinating activities of other personnel and delegating work appropriately to ensure delivery on-time, as promised
• Commitment to quality—driving high standards including writing and executing tests at all levels
• Demonstrated mindset of continuous improvement and learning
Preferred Qualifications
• Experience using object-oriented languages (.Net, Java, Python) to deliver data for near real-time, streaming analytics
• Experience with data quality and data governance frameworks
• Experience writing automated unit, integration, and acceptance tests for data interfaces & data pipelines
• Ability to quickly comprehend the functions and capabilities of new technologies, and identify the most appropriate use for them
• Bachelor’s degree in computer science, Data Engineering, Mathematics, Analytics, or related field
In addition to the salary range, this role is also eligible for bonus or incentive opportunities
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:
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Southlake, TX; Austin, TX
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. Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning.
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:
No clear work-authorization passage found. Eligibility is unconfirmed.