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Manager Data Engineering Jobs in Frisco, 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

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 ...

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 ...

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 ...

Core Specialty

Director, Data Engineering

Dallas, TX

The remaining 40% will be focused on strategic alignment, technical direction, and resource management for the Data Engineering team. A key part of the mandate is ensuring the platform remains AI/ML ...

1 point system

Data Engineering Manager

Dallas, TX · On-site

$113K - $136K/yr

Qualifications * 6+ years of experience in data engineering and delivery leadership. * Proven track record managing delivery of Snowflake-based data platforms (pipelines, ETL, semantic layers). Hands ...

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

Manager Data Engineering information

See Frisco, TX salary details

$29K

$90.9K

$161K

How much do manager data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager data engineering in Frisco, TX is $90,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $117,500.00 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 Frisco, TX?

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

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

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

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

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

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

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

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Frisco, TX as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $90,921 per year, or $43.7 per hour.

Manager, Data Engineering

Charles Schwab Inc.

Southlake, TX • On-site

$142K - $155K/yr

Full-time

Posted 14 days ago

Job description

Your Opportunity
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 (STS) enables the future of how clients manage their money by delivering innovative, secure, and reliable technology solutions that support investing, financial planning, and wealth management at scale. As a Manager, Data Engineering on the Business Data Delivery team, you will play a critical role in shaping enterprise data solutions that power analytics, reporting, and data science initiatives across the organization.
In this role, you will lead the design, development, and delivery of complex data integration and data platform solutions that enable business stakeholders to make informed decisions and create better client outcomes. Partnering closely with business leaders, product teams, data modelers, architects, and fellow engineers, you will transform data into actionable insights through scalable and resilient data pipelines, data warehouse solutions, and cloud-based platforms. Your expertise will influence strategic technology decisions, drive engineering excellence, and support critical business capabilities across a variety of financial services applications.
You will have the opportunity to work with modern cloud and data technologies including Google Cloud Platform (GCP), BigQuery, Informatica IDMC/IICS, Dataproc, Control-M, SQL, Python, and enterprise DevOps tools. Beyond technical leadership, you will mentor engineers, guide delivery teams, and foster a culture focused on innovation, continuous improvement, collaboration, and operational excellence. This is an exciting opportunity for a leader who is passionate about solving complex data challenges, driving business impact, and helping shape the future of Schwab's enterprise data ecosystem.
What you have
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
  • 10+ years of experience in Data Engineering, Data Warehousing, ETL Development, or related disciplines.
  • Experience leading large-scale data engineering initiatives, technical teams, or complex enterprise programs.
  • 5+ years of experience designing and implementing enterprise data integration solutions using Informatica IDMC/IICS or similar ETL technologies.
  • Experience with Google Cloud Platform (GCP), including services such as BigQuery, Google Cloud Storage (GCS), and Dataproc.
  • Define and implement data warehouse, data modeling, ETL, load plans, and performance tuning strategies to ensure solutions meet functional and non-functional requirements. Leverage deep expertise in Data Warehousing, Data Modeling, SQL, and GCP technologies to deliver scalable and reliable platforms.
  • Advanced experience developing scalable data ingestion, transformation, and integration solutions supporting batch, near real-time, and real-time processing patterns.
  • Demonstrated expertise in Data Warehousing, Data Modeling, ETL Architecture, and SQL Development.
  • Strong programming and scripting experience utilizing Python, Shell Scripting, and related automation technologies.
  • Experience designing and optimizing high-performance data platforms through performance tuning, workload optimization, and scalable architecture practices.
  • Experience partnering with business stakeholders, business analysts, architects, and cross-functional technology teams to deliver business-focused data solutions.
  • Proven experience developing technical specifications, testing strategies, operational documentation, and governance controls for enterprise data platforms.
  • Working knowledge of Agile delivery methodologies, DevOps practices, CI/CD pipelines, and modern software engineering principles.
  • Experience utilizing source control and deployment tools such as GitHub, GitLab, Bitbucket, Bamboo, Control-M, or comparable technologies.
  • Strong analytical, problem-solving, and decision-making skills with the ability to lead complex technical initiatives from concept through delivery.
  • Excellent verbal and written communication skills with the ability to influence technical and non-technical stakeholders.

Preferred Qualifications
  • Experience within financial services, banking, brokerage, wealth management, or other highly regulated industries.
  • Experience supporting enterprise applications such as Workday, CAT, O2, SPO, or similar business-critical platforms.
  • Experience leading distributed, offshore, and vendor-supported engineering teams.
  • Demonstrated ability to drive technology modernization, process improvement, and data platform transformation initiatives.
  • Experience fostering engineering best practices, mentoring teams, and building high-performing technical organizations.
  • Strong background in strategic planning, prioritization, and execution across multiple concurrent initiatives.
  • Experience influencing architectural standards, governance frameworks, and enterprise data strategies.
  • Proven ability to navigate ambiguity, adapt to changing business priorities, and drive successful outcomes in complex environments.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

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