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Manager Data Engineering Jobs in Georgetown, TX (NOW HIRING)

Charles Schwab Inc.

Data Engineering Lead

Austin, TX · On-site

$145K - $165K/yr

Interface with product owner and key stakeholders in Project Management, Business, Development, QA ... Minimum of 10-12 years of solid data engineering experience. * Minimum of 3 years strategic project ...

Sagent

Data Services Engineer SR

Austin, TX · On-site

$113K - $136K/yr

Cloud & Database Engineering: * Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, or GCP), leveraging managed services for storage, compute, and orchestration. * Design ...

ZipRecruiter

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team. Our business is complex; we're working on data driven systems and applications and we're looking for ...

ZipRecruiter

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team. Our business is complex; we're working on data driven systems and applications and we're looking for ...

ZipRecruiter

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team. Our business is complex; we're working on data driven systems and applications and we're looking for ...

Sagent

Data Services Engineer SR

Austin, TX · On-site +1

$113K - $136K/yr

Cloud & Database Engineering: * Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, or GCP), leveraging managed services for storage, compute, and orchestration. * Design ...

Charles Schwab Inc.

Manager Data Management

Austin, TX · On-site

$110K - $135K/yr

Schwab Technology Services enables the future of how clients manage their money by providing ... engineering, while simultaneously enhancing data impact and data safety for our business and our ...

Charles Schwab

Manager Data Management

Austin, TX

Schwab Technology Services enables the future of how clients manage their money by providing ... engineering, while simultaneously enhancing data impact and data safety for our business and our ...

Self Financial

Staff Data Engineer

Austin, TX

$160K - $195K/yr

As part of the Self Financial Data Engineering Team, your role will be to ensure that data remains ... Managing data pipeline, ETL/ELT processes using SQL and Python * Maintaining data lifecycle and ...

Central Health

Data Systems Engineer

Austin, TX

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Perform vendor management and oversight as needed. Ability to work outside of standard business ...

Central Health

Data Systems Engineer

Austin, TX

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Perform vendor management and oversight as needed. Ability to work outside of standard business ...

BakerHostetler

Data Solutions Engineer

Austin, TX

$113K - $136K/yr

... data management • Medallion architecture design patterns using Delta Lake (bronze, silver, gold layers) • Microsoft Fabric, including Lakehouse, Data Engineering, and Real-Time Analytics • ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Management Office (PMO). • Answer provider, partner, and vendor questions; assist in ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Management Office (PMO). • Answer provider, partner, and vendor questions; assist in ...

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Showing results 21-40

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Georgetown, TX

Manager Data Engineering information

See Georgetown, TX salary details

$28.8K

$90.3K

$159.8K

How much do manager data engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for manager data engineering in Georgetown, TX is $90,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $116,600.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are popular job titles related to Manager Data Engineering jobs in Georgetown, TX?

For Manager Data Engineering jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Georgetown, TX look for?

The top searched job categories for Manager Data Engineering jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Manager Data Engineering jobs?

Cities near Georgetown, TX with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Georgetown, TX as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $90,259 per year, or $43.4 per hour.

Data Engineering Lead

Charles Schwab Inc.

Austin, TX • On-site

$145K - $165K/yr

Full-time

Re-posted 16 days ago

Job description

Your Opportunity
At Schwab, you are 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.
Schwab is recruiting an outcome driven, results-oriented, well organized, strategic data technology leader who shares our passion for technology, innovation, people, and excellence. Our main goal here at Schwab is to transform people's lives by changing the way the world invests. We are in the midst of re-architecting and rebuilding our core enterprise data platform to support our rapidly growing and evolving business. The technical engineering leader will be a hands-on lead engineer with technical/business acumen and leadership experience that excels in a structured, dynamic, fast-moving environment and is passionate about developing high quality, high performance, and scalable solutions. The candidate will lead and work aside a team of seasoned engineers whose main objective is to maintain all aspects of the system health and ensure the on-time, quality delivery of software releases. This position could be located in Austin, TX.
This position will be part of the Operational Data Exchange (ODX) Technology team within the Schwab Data organization focusing on providing Operational Intelligence and Insights, and position Schwab to remain a Data Driven organization using a world class Data Exchange (DX) platform. The DX support various critical business functions and business units - Schwab Technology Services (STS), Audit, Corporate Tax, Risk, Compliance, etc. This is a role for someone who is passionate and excited to learn/understand the corporate systems, build a solid team, focus on basics and streamline existing system to make it stable, and build a future state data platform that is going to be pivotal to drive client-centricity, reducing time to market, scale & increasing efficiency. Ideal candidates enjoy creating structure in a fast-paced environment, thrive under ambiguity, and embrace change passionately. This is a unique opportunity to grow and transform our business through driving significant step-change in our time to market, building more stable integrated solutions, and enabling project success via cross-functional coordination and ownership.
In this role you will:
  • Provide strategic, technical and project leadership to data pipeline development.
  • Understand the needs of the business and using this knowledge to align on a solution and drive delivery
  • Drive Agile development supporting organization priorities and innovation.
  • Hands-on development and mentoring for all members of the team to ensure team and project success.
  • Drive outcomes and team performance, collaborate with all to achieve results, and think strategically.
  • Work closely with development, product owner and team members to decompose stories, design features, and prioritize tasks.
  • Effectively navigate cross-functional communication to ensure alignment between teams and within one team.
  • Cultivate a culture of open feedback that promotes accountability for getting better together.
  • Collaborate with other shared functions to support application support and automation for deployments.
  • Interface with product owner and key stakeholders in Project Management, Business, Development, QA and Technology Operations to ensure high quality delivery of software projects on time and on budget.
  • Identify technology risks and dependencies early to establish mitigation plans.
  • Create and maintain artifacts for production support and deployment processes and ensure smooth hand off to support teams.
  • Meet periodically with onshore and offshore developers and application support to review and improve processes.

What you have
Required
  • Expertise in ETL development, Data Architecture, Data Modeling, Data Quality, Best Practices, Exception Handling
  • SQL, Google Cloud Products including BigQuery, Cloud Storage, Dataflow, Composer, Pub/Sub, SQL Server Integration Services
  • Expertise in Informatica (IDMC/IICS) and Python coding skills
  • Used AI in development lifecycle to gain efficiency
  • Business Analysis experience to perform data analysis and guide analysts to translate business requirements to data mapping
  • Exceptional track record in delivering results and business outcomes
  • Master's or bachelor's degree in computer science, Information Technology or similar/equivalent area of study
  • Minimum of 5 years working in the financial services industry.
  • Minimum of 10-12 years of solid data engineering experience.
  • Minimum of 3 years strategic project leadership and delivery experience in matrixed organization
  • Strong understanding of Data Warehouse concepts (star schema, slowly changing dimensions, fact/dimension modeling) and Operational Data Exchanges/Stores.
  • Solid understanding of data lifecycle, metadata management, and governance standards.
  • Good understanding of latest Architecture and Development Standards and Guidelines
  • Willingness to learn new skills and keep up with technology changes in future to meet business needs.
  • Demonstrated ability to disagree, debate your case with data, and commit to deliver regardless of the outcome.
  • Excellent verbal and written communication skills required for composing and delivering technical presentations or other forms of documentation to various levels of technical and non-technical management.
  • Prior experience working with vendor resources in an onshore-offshore model and driving delivery and collaboration for maximum output.
  • Implement data security controls and access management policies to protect sensitive information.

Preferred
  • Experience working with and sourcing data from Corporate Systems like Workday, BMC Remedy Helix, Jira, Rally, etc.
  • Experience providing guidance, direction, and feedback to other technical staff to meet agreed upon objectives.
  • Ability to analyze, propose and implement timely, cost effective, quality solutions for all issues or problems within area of responsibility.
  • Proficient managing multiple priorities in a well-organized, dynamic, geographically dispersed environment
  • Experience implementing streaming and event driven solutions using Confluent Kafka
  • Data Visualization including report design, use or reporting tools
  • Experience in dev tools such as GitHub, Bamboo, Liquibase
  • Experience and demonstrate proficiency in cloud-based technologies (GCP preferred).

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
This position will be located in our Southlake, TX location.

Apply