Data Engineering Manager Jobs in Austin, TX
Data Engineering Manager jobs in Austin, Texas concentrate in the Domain, downtown's Central Business District, and the emerging East Austin tech corridor, across enterprise software, fintech, healthtech, and defense technology. Employers hiring right now include Amazon, Apple, and Amazon Web Services. Find a role that fits below and apply directly.
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Showing 5 of 54+ Data Engineering Manager jobs
Location: Austin, TX
Requisition ID 2026-123264
Category Engineering & Software Development
Position type Regular
Pay range USD $170,000.00 - $210,000.00 / Year
Application deadline 2026-07-07
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 is advancing the next generation of data, analytics, and AI capabilities through modern, cloud-based platforms and scalable engineering solutions. As a Senior Manager, Data Engineering, you will lead the strategy, modernization, and delivery of enterprise data platforms that power analytics, reporting, and AI-driven insights across the firm. This role sits at the center of Schwab’s transformation—driving trusted, high-quality data delivery and enabling business teams to make faster, more informed decisions.
You will shape and scale cloud-native data engineering capabilities by establishing reusable frameworks, automated pipelines, and resilient architectures that improve data quality, governance, and operational efficiency. Through close partnership with product, business, data science, risk, and security stakeholders, you will translate complex business needs into sustainable technical solutions that accelerate enterprise outcomes.
Success in this role requires balancing strategic leadership with hands-on technical direction—modernizing legacy platforms, advancing automation and CI/CD practices, and embedding strong data governance, lineage, and compliance standards. You will also build and develop high-performing teams, fostering a culture of accountability, innovation, and continuous improvement while influencing executive stakeholders on data strategy, priorities, and outcomes.
What you have
Required Qualifications
- Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or related field
- 10+ years of experience in data engineering, data integration, analytics engineering, or related disciplines
- 5+ years of people leadership experience managing engineering teams and enterprise-scale programs
- Deep expertise in data architecture, ETL/ELT frameworks, and data warehousing
- Hands-on experience with cloud data platforms (e.g., Snowflake, BigQuery, GCP, AWS) and enterprise integration tools (e.g., Informatica, Talend, IDMC)
- Experience designing and delivering scalable batch and real-time data pipelines across hybrid environments
- Proven experience implementing data governance, data quality, metadata management, and lineage frameworks
- Demonstrated success leading large-scale modernization, migration, or platform transformation initiatives
- Strong understanding of Agile, DevOps, CI/CD, and automation practices
- Ability to align technical strategy to business outcomes with strong stakeholder engagement and executive communication skills
Preferred Qualifications
- Experience supporting AI/ML platforms, model lifecycle management, or enterprise AI enablement
- Familiarity with tools such as Vertex AI, Dataiku, or MLOps frameworks
- Experience enabling AI-driven or conversational analytics use cases
- Background in financial services or other highly regulated environments
- Experience leading enterprise cloud modernization initiatives
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
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
Location: Austin, TX
Requisition ID 2026-123264
Category Engineering & Software Development
Position type Regular
Pay range USD $170,000.00 - $210,000.00 / Year
Application deadline 2026-07-07
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 is advancing the next generation of data, analytics, and AI capabilities through modern, cloud-based platforms and scalable engineering solutions. As a Senior Manager, Data Engineering, you will lead the strategy, modernization, and delivery of enterprise data platforms that power analytics, reporting, and AI-driven insights across the firm. This role sits at the center of Schwab’s transformation—driving trusted, high-quality data delivery and enabling business teams to make faster, more informed decisions.
You will shape and scale cloud-native data engineering capabilities by establishing reusable frameworks, automated pipelines, and resilient architectures that improve data quality, governance, and operational efficiency. Through close partnership with product, business, data science, risk, and security stakeholders, you will translate complex business needs into sustainable technical solutions that accelerate enterprise outcomes.
Success in this role requires balancing strategic leadership with hands-on technical direction—modernizing legacy platforms, advancing automation and CI/CD practices, and embedding strong data governance, lineage, and compliance standards. You will also build and develop high-performing teams, fostering a culture of accountability, innovation, and continuous improvement while influencing executive stakeholders on data strategy, priorities, and outcomes.
What you have
Required Qualifications
- Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or related field
- 10+ years of experience in data engineering, data integration, analytics engineering, or related disciplines
- 5+ years of people leadership experience managing engineering teams and enterprise-scale programs
- Deep expertise in data architecture, ETL/ELT frameworks, and data warehousing
- Hands-on experience with cloud data platforms (e.g., Snowflake, BigQuery, GCP, AWS) and enterprise integration tools (e.g., Informatica, Talend, IDMC)
- Experience designing and delivering scalable batch and real-time data pipelines across hybrid environments
- Proven experience implementing data governance, data quality, metadata management, and lineage frameworks
- Demonstrated success leading large-scale modernization, migration, or platform transformation initiatives
- Strong understanding of Agile, DevOps, CI/CD, and automation practices
- Ability to align technical strategy to business outcomes with strong stakeholder engagement and executive communication skills
Preferred Qualifications
- Experience supporting AI/ML platforms, model lifecycle management, or enterprise AI enablement
- Familiarity with tools such as Vertex AI, Dataiku, or MLOps frameworks
- Experience enabling AI-driven or conversational analytics use cases
- Background in financial services or other highly regulated environments
- Experience leading enterprise cloud modernization initiatives
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
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
See All 54 Data Engineering Manager Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
Find Data Engineering Manager JobsData Engineering Manager Job Market in Austin
Who's Hiring
- Amazon21
- Apple8
- Amazon Web Services5
- Charles Schwab4
- Qualcomm2
Top Industries Hiring
- Technology & Software28
- Retail21
- E-Commerce & Online Marketplaces21
- Electronics & Hardware10
- Distribution & Wholesale5
Data Engineering Manager Jobs in Austin: Frequently Asked Questions
How do I get a data engineering manager job in Austin?
The strongest path into a data engineering manager role in Austin is through the city's dense enterprise software and cloud infrastructure sector, where companies regularly promote senior engineers into management. Austin's fintech and healthtech clusters also hire managers with platform-scale experience. Candidates who demonstrate team leadership on modern data stack migrations, real-time pipelines, or cloud warehouse implementations stand out most in Austin's competitive market.
Which companies hire data engineering managers in Austin?
Employers hiring data engineering managers in Austin right now include Amazon, Apple, and Amazon Web Services, based on current listings on Migrate Mate as of June 2026. Austin's hiring mix tends to favor high-growth tech companies, established semiconductor and defense contractors, and regional financial services firms that have built substantial in-house data platforms.
Are there remote data engineering manager jobs in Austin?
Yes, though less so than purely analytical roles, since data engineering managers often oversee infrastructure provisioning and cross-functional engineering teams that benefit from in-person coordination. About 18% of data engineering manager openings tied to Austin are remote or hybrid as of June 2026, with hybrid arrangements most common among Austin's enterprise software employers whose engineering teams are already distributed.
How can I get a data engineering manager job in Austin with little or no experience?
The most realistic entry path in Austin is moving laterally from a senior data engineer or tech lead role at one of the city's mid-size SaaS or fintech companies, where management responsibilities are often added incrementally before a formal title change. Austin's startup ecosystem in East Austin and the Domain also hires player-coach leads who manage small teams while staying hands-on, making those environments a natural bridge into full management.
Which industries hire the most data engineering managers in Austin?
Most data engineering manager openings in Austin sit in Technology & Software, Retail, and E-Commerce & Online Marketplaces, per current listings on Migrate Mate as of June 2026. Austin's position as a major hub for cloud infrastructure companies, semiconductor firms, and health technology platforms creates sustained local demand for managers who can scale data systems across regulated and high-throughput environments.
See All 54 Data Engineering Manager Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
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