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.
Production Support Data Engineer
Southlake, TX; Austin, TX
Actively hiring, first seen by us 4 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingTroubleshoot and resolve production data incidents and restore service
Lead production readiness, releases, and operational change
Enhance monitoring, preventive controls, and automation for batch workloads
Communicate during service disruptions and coordinate cross-team fixes
Participate in scheduled on-call rotation for critical incidents
From the employer’s posting
anticipate, troubleshoot, and resolve production issues
You will drive production readiness, releases, incident resolution, and operational change
enhance monitoring and preventive controls
communicate clearly during service disruptions
This position requires participation in a scheduled on-call rotation
What you’ll bring
All qualificationsCore experience
- 7+ years of hands-on production support experience in a data warehousing environment.
- 3+ years of experience supporting data and analytics applications in Google BigQuery, preferably GCP or a similar cloud data platform.
- Experience with Splunk, Remedy, Jira, or equivalent support tools.
- Demonstrated ability to lead production support for enterprise data platforms, applying analytical thinking and technical troubleshooting to identify root causes and restore service.
- Experience establishing operational standards, documentation, and support processes aligned with enterprise policies.
- Ability to improve data classification, storage, security, quality, and compliance through scalable technical solutions.
Preferred experience
- 3+ years of hands-on experience supporting ETL workloads; Informatica IDMC or IICS experience is highly preferred.
- 5+ years of experience with Control-M or AutoSys workload scheduling.
- Experience with Google Cloud data-processing services such as Airflow and Pub/Sub.
- Hands-on proficiency with Linux, shell scripting, SQL, and data analysis.
Qualification wording
7+ years of hands-on production support experience in a data warehousing environment.
3+ years of experience supporting data and analytics applications in Google BigQuery, preferably GCP or a similar cloud data platform.
Experience with Splunk, Remedy, Jira, or equivalent support tools.
Demonstrated ability to lead production support for enterprise data platforms, applying analytical thinking and technical troubleshooting to identify root causes and restore service.
Experience establishing operational standards, documentation, and support processes aligned with enterprise policies.
Ability to improve data classification, storage, security, quality, and compliance through scalable technical solutions.
3+ years of hands-on experience supporting ETL workloads; Informatica IDMC or IICS experience is highly preferred.
5+ years of experience with Control-M or AutoSys workload scheduling.
Experience with Google Cloud data-processing services such as Airflow and Pub/Sub.
Hands-on proficiency with Linux, shell scripting, SQL, and data analysis.
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 31, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 4
Early. Similar jobs usually come down between day 6 and day 54.
From 10,824 similar postings that came down. Coming down is not always a hire.
Charles Schwab is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
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.
- Shell
- SQL
- BigQuery
- GCP
Where the posting names them
- Experience with Google Cloud data-processing services such as Airflow and Pub/Sub. - Hands-on proficiency with Linux, shell scripting, SQL, and data analysis. - Experience improving large-scale batch operations through automation, self-healing solutions, and continuous process improvement.
- 3+ years of hands-on experience supporting ETL workloads; Informatica IDMC or IICS experience is highly preferred. - 3+ years of experience supporting data and analytics applications in Google BigQuery, preferably GCP or a similar cloud data platform. - Experience with Splunk, Remedy, Jira, or equivalent support tools.
- 5+ years of experience with Control-M or AutoSys workload scheduling. - Experience with Google Cloud data-processing services such as Airflow and Pub/Sub. - Hands-on proficiency with Linux, shell scripting, SQL, and data analysis.
Your next step
Complete your application on www.schwabjobs.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
- Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
About the role
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.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
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.
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 enables the future of how clients manage their money by delivering innovative, reliable technology products and services at scale. As a Production Support Data Engineer supporting Schwab’s cloud data and analytics ecosystem, you will lead the operational support of enterprise data platforms, large-scale batch workloads, and business-critical data applications.
Combining hands-on technical expertise with strong production support ownership, you will anticipate, troubleshoot, and resolve production issues while improving automation, platform resilience, and operational stability. You will drive production readiness, releases, incident resolution, and operational change, collaborating across data engineering, platform, business, and external teams to strengthen data availability and service reliability. You will establish scalable support standards, enhance monitoring and preventive controls, communicate clearly during service disruptions, and continuously improve processes to deliver secure, stable, and reliable enterprise data operations.
This position requires participation in a scheduled on-call rotation, including occasional evenings, weekends, and holidays, to support production environments and respond to critical incidents.
What you have
Required Qualifications
7+ years of hands-on production support experience in a data warehousing environment.
3+ years of hands-on experience supporting ETL workloads; Informatica IDMC or IICS experience is highly preferred.
3+ years of experience supporting data and analytics applications in Google BigQuery, preferably GCP or a similar cloud data platform.
Experience with Splunk, Remedy, Jira, or equivalent support tools.
Demonstrated ability to lead production support for enterprise data platforms, applying analytical thinking and technical troubleshooting to identify root causes and restore service.
Experience establishing operational standards, documentation, and support processes aligned with enterprise policies.
Ability to improve data classification, storage, security, quality, and compliance through scalable technical solutions.
Experience using data analysis and quality assurance practices to support informed decision-making, operational performance, and product integrity.
Proven ability to communicate clearly and promptly during production incidents, coordinate cross-functional resolution efforts, and engage stakeholders through complex technical issues.
Demonstrated technical leadership, including coaching team members, setting priorities, and supporting reliable delivery in a production environment.
Bachelor’s degree in computer science, engineering, or a related field.
Preferred Qualifications
5+ years of experience with Control-M or AutoSys workload scheduling.
Experience with Google Cloud data-processing services such as Airflow and Pub/Sub.
Hands-on proficiency with Linux, shell scripting, SQL, and data analysis.
Experience improving large-scale batch operations through automation, self-healing solutions, and continuous process improvement.
Experience navigating incident and change management processes with an end-to-end understanding of system flows and the broader technology landscape.
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
Source details
Source notes
Source excerptsSelected 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
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 enables the future of how clients manage their money by delivering innovative, reliable technology products and services at scale. As a Production Support Data Engineer supporting Schwab’s cloud data and analytics ecosystem, you will lead the operational support of enterprise data platforms, large-scale batch workloads, and business-critical data applications.
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.