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

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

... data engineering solutions 5-7 years data analytics experience using SQL 5-7 years of cloud ... management, data ingestion, capture, processing and curation Expertise in providing practical ...

Artius Solutions

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

As a Databricks Lead, you will be a critical member of our data engineering team, responsible for ... Manage and optimize AWS resources for Databricks workloads. * Ensure secure and compliant ...

Charles Schwab

Data Engineering Lead

Southlake, TX

$107K - $129K/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 ...

Charles Schwab Inc.

Data Engineering Lead

Southlake, 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 ...

Pwc

Data Engineer - Manager

Fort Worth, TX · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Pwc

Data Engineer - Manager

Dallas, TX · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

ELEVATE AVIATION GROUP LLC

Data Engineer

Plano, TX

$107K - $128K/yr

Design and manage databases * Build and maintain data warehouses, data lakes, or data mesh architectures * Work with Product and Engineering to understand data requirements * Provide data access and ...

Elevate Jet

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

Design and manage databases * Build and maintain data warehouses, data lakes, or data mesh architectures * Work with Product and Engineering to understand data requirements * Provide data access and ...

Sagent

Data Services Engineer SR

Dallas, 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 ...

Elevate Aviation Group LLC

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

Design and manage databases * Build and maintain data warehouses, data lakes, or data mesh architectures * Work with Product and Engineering to understand data requirements * Provide data access and ...

Genius Road

Manager, Data Management #3291

Dallas, TX · Hybrid

Manager, Data Management Contract Position: 12 months + potential extension Location: Dallas, TX ... Experience working within DevOps, DataOps, or agile delivery environments * Excellent communication ...

Sarian, Inc.

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

... engineering solutions. You will work closely with data analysts, data scientists, and software ... Deploy and manage data workflows in cloud platforms (AWS, Azure, GCP). * Utilize SQL and NoSQL ...

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Showing results 41-60

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

Manager Data Engineering information

See Dallas, TX salary details

$30.7K

$96.1K

$170.1K

How much do manager data engineering jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager data engineering in Dallas, TX is $96,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,100.00 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?

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 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.

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 are the most commonly searched types of Data Engineering jobs in Dallas, TX? The most popular types of Data Engineering jobs in Dallas, TX are:
What are popular job titles related to Manager Data Engineering jobs in Dallas, TX? For Manager Data Engineering jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Dallas, TX look for? The top searched job categories for Manager Data Engineering jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Manager Data Engineering jobs? Cities near Dallas, TX with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you

Director, Customer Data Engineering

Gap, Inc.

Coppell, TX • On-site

Full-time

Re-posted 9 days ago

Gap rating

6.7

Company rating: 6.7 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

30th of 104 rated fashion retailers

Job description

About the Role
The Customer Data Engineering Director will implement data strategies that enable Gap Inc to better manage our customer data with a goal to provide a comprehensive view of the customer, improved business decision making through quicker insights and adherence to compliance and privacy needs. This role will report into the Sr. Director of Customer Data Engineering and will be a part of the team responsible for reharmonizing, standardizing, and streamlining enterprise customer data with ownership of the business data layer working in partnership with data governance, data product management and marketing data teams.What You'll Do
  • Relevant technology professional experience in Technology, with a concentration in Customer Data Management & Marketing Technology integration
  • Strong experience in managing customer data for fashion retailers
  • Strong experience in data engineering, data platforms, data strategy consulting, or equivalent data management experience
  • Experience in operationalizing data privacy, compliance and governance initiatives
  • Experience with cloud-based platforms like Azure/GCP/AWS specializing in the related data stack within including consumption patterns like data products, data marts, universal semantic layers
  • Experience working across global teams spanning multiple time zones and geographies
  • Ability to collaborate effectively with various functional partners to probe/ask questions, gather required information for analyses, and participate as a value-added cross-functional partner
  • Experience operating in a fast-paced environment driven by senior leadership requests and evolving business needs
  • Ability to manage workload with limited guidance; effective managing to expectations and ability to scope/prioritize work with relatively high independence
  • Retail Experience is a must have
  • Strong verbal and written communication skills
  • Strong analytical, problem solving, and multi-tasking skills
  • Customer focused and Solutions Oriented mindset
Who You Are
  • Drive the data integration plan with internal stakeholders, vendors, partners, 3rd party teams
  • Implements processes for active stewardship of data, including active management of metadata and oversight of data processes and flows
  • Collaborate with the team to ideate and prototype new data opportunities
  • Be accountable for the quality of our core data set and make improvements each sprint
  • Lead the business engagement and agreement on business-wide data standards
  • Ownership of all data enrichment, maintenance investments
  • Key driver in data warehouse and business intelligence investment strategy
  • Customer data evangelist - proactively seek new and improved ways for data to drive more differentiated, dynamic, cross-channel touch point opportunities for Users
  • Internal expert on customer Data Security and Privacy policies and practices
  • Business Lead on all data-related acquisition and divestiture activities
  • Build and maintain a strong technical team through effective recruiting, training, coaching, team building, and succession planning.

What Gap employees say

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