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Manager Data Engineering Jobs in Texas (NOW HIRING)

Data Program Manager

Austin, TX · On-site

$51.25 - $69.50/hr

This role collaborates with engineering, analytics, AI, and business teams to ensure execution, manage dependencies, track metrics, and resolve blockers. It ensures data programs deliver measurable ...

Establish engineering best practices across data pipelines, modeling, data quality, lineage, metadata management, documentation and operational monitoring. Oversee sprint planning, backlog ...

Data Engineer

Frisco, TX · On-site

$116K - $135K/yr

Summary/Objective Reporting to the IT Manager, Data & Analytics, the Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, data platforms, and data warehouse ...

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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Showing results 1-20

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 5, 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:
Infographic showing various Manager Data Engineering job openings in Texas as of June 2026, with employment types broken down into 77% Full Time, 19% Part Time, 2% Contract, and 2% Nights. 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.
IT Senior Manager, Data Engineering & Governance

IT Senior Manager, Data Engineering & Governance

CosmoProf

Plano, TX • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


CosmoProf rating

5.1

Company rating: 5.1 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

24th of 39 rated hair and beauty


Job description

Senior Manager, Data Engineering & Governance

This position is hybrid working from our Legacy West Support Center located in Plano, Texas

About Sally Beauty Holdings, Inc.

At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling and distributing professional beauty supplies across 11 countries through our Sally Beauty and Beauty Systems Group businesses. Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers looking for salon quality products at a value price. Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales consultants, sell professionally branded products intended for use and resale by salons to retail consumers.

About the role

The Senior Manager, Data Engineering & Business Intelligence, is a hybrid player-coach role instrumental in taking new ideas in the data and artificial intelligence (AI) landscape and cultivating them into positive business outcomes. This role helps create a culture of innovation by shaping the processes needed for forward movement across the enterprise. The ideal candidate blends high-level project discovery and team leadership with hands-on technical execution. They possess strong business knowledge in a retail environment working across multiple business models (B2B, B2C, E-commerce, and brick & mortar). The candidate must have a solid, practical background in the Data and BI space - specifically spanning hands-on data engineering, data reporting, analytics, and data governance.

Responsibilities

Tech Delivery & Hands-On Engineering

  • Hands-on Development: Actively write, review, and optimize production-grade code (PySpark, SQL) to build scalable data pipelines, data architectures, and delta tables.

  • Pipeline & Architecture Management: Architect and manage robust ELT/ETL processes within Azure Data Factory and optimize cloud data structures within Azure Databricks (Delta Lake, Unity Catalog).
  • BI Infrastructure: Develop and govern semantic data models, advanced DAX queries, and enterprise-grade Power BI dashboards to deliver complex insights directly to business units.
  • Technical Oversight: Supervise and directly contribute to the development of AI/ML models, data pipelines, and scalable data architectures, collaborating with data scientists, engineers, and product managers.

Project Discovery & Team Management

  • Shepherd Leadership: Guide SMEs and business stakeholders in identifying business needs and developing problem statements, business rules, and metrics for strategic Data & AI initiatives.
  • Team & Workload Leadership: Manage a high-performing team of data engineers and analysts, balancing resource allocation, mentoring technical growth, and overseeing daily Agile delivery.
  • Scope & Estimation: Define and manage the overall scope of initiatives, gain appropriate signoff from stakeholders, and work across IT and vendor partners to develop timelines and cost estimates.
  • Business Case Building: Assist leadership with building business cases, tracking budget-versus-actuals, and preparing for funding approvals and various stage-gating processes.
  • Lifecycle Governance: Ensure requirements are met throughout the project lifecycle process and keep stakeholders apprised of changes to scope.

Stakeholder Collaboration & Partnerships

  • Cross-Functional Alignment: Create strong partnerships with key leaders throughout the enterprise (e.g., Digital, Solutions Delivery, Finance, Infrastructure & Ops) to identify SMEs and project customers.
  • Change Agent: Drive the internal adoption of modernized modern data warehouse concepts and maintain alignment between technical output and retail business goals.

Knowledge, skills & abilities requirements

  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Data Engineering, or a related field, or an equivalent combination of experience, education, and training.
  • Technical Stack: Advanced, hands-on experience with a modern data stack including Databricks (Spark, Delta Lake), Power BI, and Azure Data Factory (ADF).
  • Experience: 8+ years of experience in a combination of data engineering, data reporting, advanced analytics, and project management.
  • Leadership: 3+ years of direct people management or technical team leadership experience.
  • Retail Domain: Demonstrated knowledge and experience in applying data engineering and AI to business areas within a retail environment (E-commerce, supply chain, store ops, or B2B/B2C).
  • Delivery Track Record: A proven track record of managing and directly contributing code to complex data and AI programs across multiple business units.
  • Communication: Skilled at creating executive-level presentations and summaries based on complex data insights.
  • Methodology: Demonstrated experience with Data project life cycle processes, execution of use cases, and business benefit capture.

Competencies & attributes

  • Aptitude for Innovation: Keeps up with industry trends and knowledge in the Data & AI landscape.
  • Shows a Bias for Action: Proactively researches, codes, and solves complex data issues using data-driven insights.
  • Excellent Relationship-Building: Builds strong relationships across IT and business units, seamlessly navigating internal politics and securing buy-in.
  • Strategic Focus: Operates strategically with the unique ability to dive deeply into technical execution and raw code when necessary.
  • Embraces Ambiguity: Works with a brief list of assumptions and supports Sponsors to drive initiatives forward.
  • Curious and Persistent: Willingness to take the first steps, build initial technical proof-of-concepts, and deep dive into new data domains.

Working conditions & physical requirements

This will be a hybrid role required to be onsite at the Corporate office on specified days. The work environment generally involves everyday risks or discomforts which require normal safety precautions typical of such places as offices, meeting and training rooms, retail stores, and residences or commercial vehicles, e.g., use of safe work practices with office equipment, avoidance of trips and falls, observance of fire regulations and traffic signals, etc. The work area is adequately lighted, heated, and ventilated.

The work is sedentary; however, occasional travel to company locations may be required. Typically, the employee may sit comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items such as papers, files, books, small parts; using a keyboard, driving an automobile, etc. No special physical demands are required to perform the work.

Benefits

We offer a competitive salary and outstanding benefits package that includes medical, dental, vision, life Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with company match. In addition, associates of SBH may take advantage of our in-house salon with complementary services and a varied selection of food options at our corporate campus. Also, featured at our corporate campus, is both a Sally Beauty and CosmoProf Professional onsite store, where associates enjoy a great merchandise discount!

#Hybrid


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Cosmoprof logo

About Cosmoprof

Sourced by ZipRecruiter

Cosmoprof is a respected name in the beauty industry, headquartered in Denton, TX, United States. This multinational company, accessible via cosmoprofbeauty.com, is a leader in the wholesale distribution of professional beauty products and equipment. It operates by a business-to-business model, catering extensively to salon professionals and beauticians. Its portfolio includes a wide range of products such as hair care, skin care, nail care, tools and accessories, salon furniture, and equipment from leading beauty brands. The company was founded with the intention to nurture the growth of the professional beauty sector.

Industry

Wholesale

Company size

5,001 - 10,000 Employees

Headquarters location

Denton, TX, US