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Manager Data Engineering Jobs in Texas (NOW HIRING)

Vangard, Inc.

Manager, Data Engineering

Dallas, TX · On-site

Advice & Wealth Management Technology (AWMT) is seeking a Data Engineering Manager to lead a team delivering scalable data platforms and products that power personalized financial advice. You will ...

Visa

Senior Manager, Data Engineering

Austin, TX · On-site

$162K/yr

The Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store ...

Visa

Senior Manager, Data Engineering

Austin, TX

$162K/yr

The Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store ...

Visa

Senior Manager, Data Engineering

Austin, TX

$162K/yr

The Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store ...

ABC Financial

Senior Manager, Data Engineering

Frisco, TX · On-site +1

$198K - $208K/yr

Senior Manager, Data Engineering Position Location: 2600 North Dallas Parkway, Suite 590, Frisco, TX 75034 Salary: $198,409.52 - $208,780.00 per year Hours: Monday - Friday, 8:00 am to 5:00 pm ...

7-Eleven

Senior Manager, Data Engineering

Irving, TX

Overview We are looking for an experienced Engineering Manager to lead the Data Engineering team at 7-Eleven. Enterprise Data powers decisions across the organization, with the Data Engineering team ...

7-Eleven

Senior Manager, Data Engineering

Irving, TX · On-site

We are looking for an experienced Engineering Manager to lead the Data Engineering team. At 7-Eleven, Enterprise Data powers decisions for everyone from store managers to the C-suite. The Data ...

Avanade

Associate Manager, Data Engineering

Irving, TX · On-site

Avanade is a leader in Data & AI solutions, and they are seeking an Associate Manager for their Data Engineering team. The role involves creating innovative analytics solutions using Microsoft cloud ...

Owens & Minor

Senior Manager, Data Engineering

Dallas, TX · On-site +1

$140K - $155K/yr

Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI developers -Establishdelivery standards, performance expectations, and career development ...

Daikin

Data Engineering Manager

Waller, TX

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence ...

Daikin

Data Engineering Manager

Waller, TX · On-site

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence ...

Daikin

Data Engineering Manager

Waller, TX · On-site

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence ...

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Showing results 1-20

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Texas

Manager Data Engineering information

See Texas salary details

$28.9K

$90.5K

$160.2K

How much do manager data engineering jobs pay per year?

As of Jul 25, 2026, the average yearly pay for manager data engineering in Texas is $90,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $116,900.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

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.

What are Manager Data Engineering roles and responsibilities?

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.

How does a Manager of 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 are the most commonly searched types of Data Engineering jobs in Texas? The most popular types of Data Engineering jobs in Texas are:
What are popular job titles related to Manager Data Engineering jobs in Texas? For Manager Data Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Texas look for? The top searched job categories for Manager Data Engineering jobs in Texas are:
What cities in Texas are hiring for Manager Data Engineering jobs? Cities in Texas with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,505 per year, or $43.5 per hour.
Manager, Data Engineering

Manager, Data Engineering

Vangard, Inc.

Dallas, TX • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Advice & Wealth Management Technology (AWMT) is seeking a Data Engineering Manager to lead a team delivering scalable data platforms and products that power personalized financial advice.

You will own delivery, engineering standards, and talent development while partnering across product, analytics, and ML teams to enable production-grade data and GenAI capabilities.

Responsibilities:

  • Lead a team of data engineers to build and operate scalable, reliable data pipelines and platforms

  • Drive engineering excellence (code quality, CI/CD, testing, observability, incident management)

  • Partner with product and analytics to prioritize and deliver high-impact data use cases

  • Own production support, incident response, and continuous improvement of data systems

  • Establish and scale DataOps practices across development and operations

  • Collaborate across AWMT D&A to enable data products that support personalization and analytics

  • Hire, develop, and grow engineering talent and future tech leads

  • End-to-end delivery and operation of data pipelines and platforms supporting advice products

  • Engineering quality, reliability, and standardization across your team

  • Talent development for data engineers and tech leads

  • Cross-team alignment with product, analytics, and ML engineering

  • Improving reliability and observability of production data pipelines

  • Driving adoption of consistent pipeline frameworks and engineering standards

  • Enabling scalable data foundations for ML and GenAI use cases

  • Strengthening team execution, prioritization, and stakeholder trust

Qualifications:

  • Experience leading data engineering teams delivering production data platforms

  • Strong understanding of modern data architectures and cloud-based data ecosystems

  • Track record of improving engineering quality, reliability, and delivery at scale

  • Experience partnering with product, analytics, and ML teams

  • Demonstrated ability to develop engineers and build high-performing teams

  • Cloud-native data platforms (AWS: S3, Glue, Athena, etc.)

  • Batch and event-driven data pipelines

  • Data modeling and large-scale data processing

  • Data platforms supporting ML and GenAI use cases

  • Observability, monitoring, and operational excellence for data systems

  • Minimum of eight years data analytics, programming, database administration, or data management experience.

  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

Nice to have:

  • Exposure to ML or GenAI data workflows

  • Financial services or regulated environment experience

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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