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

GM Financial

Manager - Data Engineering

Irving, TX · On-site

$106K - $127K/yr

Work with data engineering related groups to inform on and showcase capabilities of emerging ... Strong working knowledge of disaster recovery, incident management, and security best practices

Toyota

Manager, Data Engineering

Plano, TX · On-site

Collaborate closely with Engineering Managers, Product, Data Science, and Analytics toshape data roadmaps and ensure the platform evolves with business needs * Design and implement data quality ...

GM Financial

Manager - Data Engineering

Arlington, TX · Hybrid

... management experience with data engineering team preferred * High School Diploma or equivalent required * Bachelor's Degree in related field or equivalent work or military experience required ...

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 ...

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 ...

HEB

Data Engineering Manager

Dallas, TX · On-site

This leader will manage and develop a team of Data Engineers responsible for building reliable, secure, and high-performance data pipelines, machine learning data infrastructure, and customer data ...

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

Manager Data Engineering information

See Irving, TX salary details

$29.8K

$93.3K

$165.2K

How much do manager data engineering jobs pay per year?

As of Aug 27, 2026, the average yearly pay for manager data engineering in Irving, TX is $93,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $120,500.00 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 the most commonly searched types of Data Engineering jobs in Irving, TX?

The most popular types of Data Engineering jobs in Irving, TX are:

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

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

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

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

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

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

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Irving, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $93,283 per year, or $44.8 per hour.

Manager, Data Engineering

Plano, TX • On-site

Toyota Motor Sales, U.S.A., Inc.
Automobile Dealers • 10K+ employees

7.2

Company rating: 7.2 out of 10

Based on 876 frontline employees who took The Breakroom Quiz

26th of 45 rated automakers

People enjoy working here

Good employer

Recommended by students

Learn more about Toyota Motor Sales, U.S.A., Inc.external

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Job description

Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.
An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.
Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, 'job flexibility benefits' [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.
This position is an onsite role based in Plano, TX
Who we're looking for
Toyota Financial Services is on a mission to modernize how data is sourced, stored, and used across our global ecosystem. We're looking for a strategic and hands-on Manager of Data Engineering to lead the vision, design, and implementation of our enterprise-wide data acquisition and ingestion platform-powering everything from analytics to AI and Data Products in a Business Domain.
What you'll be doing
  • Lead the design, and execution of a modern, scalable data acquisition and analytical platform to ingest data from internal systems, APIs, microservices, and third-party sources.

  • Design, Build robust production-grade pipelines and self-service tools that enable software and data engineers to acquire data at scale-securely and efficiently.

  • Architect cloud-native lake and lakehouse solutions (AWS, Snowflake) and implement multi-tenant capabilities to serve global Toyota entities.

  • Partner across business, product, data architecture, and platform teams to deliver an integrated, governed, and discoverable data ecosystem.

  • Define and champion data engineering best practices: data modeling, schema evolution, data contracts, testing strategies, lineage tracking, cataloging, and governance

  • Proactively communicate technical risks, tradeoffs, and recommendations to both engineering and non-technical stakeholders

  • Collaborate closely with Engineering Managers, Product, Data Science, and Analytics to shape data roadmaps and ensure the platform evolves with business needs

  • Design and implement data quality frameworks - validation rules, anomaly detection, freshness checks, and alerting - so downstream consumers can trust the data without asking

  • Identify and resolve systemic data issues: pipeline failures, data quality degradation, schema drift, latency in streaming systems, cost inefficiencies in storage and computing, and gaps in data observability

  • Lead and grow a high-performing team of 6+ engineers, setting a high bar for technical depth, delivery, and innovation.

What you bring
  • 10-15+ years in data engineering and platform tech leadership roles.

  • Hands-on experience with enterprise-scale data acquisition methods (CDC, APIs, file transfer, event streaming).

  • Deep knowledge of cloud-based lake/lakehouse architectures (AWS, Redshift, Snowflake, or similar).

  • Strong programming skills (Python or Java) and experience with microservices and APIs.

  • Proven ability to design and implement scalable, secure, and governed data platforms.

  • Exceptional communication skills, with the ability to align business and technical stakeholders.

Added bonus if you have
  • Advanced degree in Computer Science, Engineering, or related field.

  • AWS Solutions Architect certification or higher.

  • Experience building data catalogs, managing data privacy, and implementing governance frameworks.

  • Exposure to big data ecosystems (Hadoop, Spark, Hive, etc).

  • Experience working in Banking or Insurance sectors dealing with various financial instruments or warranty policies.

What we'll bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
• A work environment built on teamwork, flexibility, and respect
• Professional growth and development programs to help advance your career, as well as tuition reimbursement
• Team Member Vehicle Purchase Discount
• Toyota Team Member Lease Vehicle Program (if applicable)
• Comprehensive health care and wellness plans for your entire family
• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable)
• Paid holidays and paid time off
• Referral services related to prenatal services, adoption, childcare, schools and more
• Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
• Relocation assistance (if applicable)
Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

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