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

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 ...

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 ...

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 ...

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 ...

Experience in data management, data engineering, analytics, or business intelligence. * Strong SQL skills for querying, validation, and analysis. * Hands-on experience with ETL/ELT processes, data ...

Daikin Comfort is seeking a Data Engineering Manager responsible for overseeing the design, development, and maintenance of data systems that support business intelligence and analytics initiatives.

Data Engineering Lead- Finance

Houston, TX

$109K - $131K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and ...

Lead Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Asset management systems * Laboratory systems * IoT and sensor data * APIs, flat files, and cloud storage * Develop robust data models that support operational reporting, engineering analysis ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Bachelor's degree in Data Engineering, Data Science, Data Management, Information Systems or related fields. * Any software programming certifications are a plus.

Data Engineer - Manager

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Bachelor's degree in Data Engineering, Data Science, Data Management, Information Systems or related fields. * Any software programming certifications are a plus. Powered by JazzHR iENUp15Elo

Data Engineer

Houston, TX · On-site

$60/hr

  • Medical

  • Dental

  • Vision

  • PTO

The ideal candidate will have strong experience in data engineering, cloud technologies, ETL/ELT ... Develop and manage data warehouses, data lakes, and cloud-based data platforms. * Collaborate with ...

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Showing results 1-20

Manager Data Engineering information

See Katy, TX salary details

$28.4K

$89.1K

$157.8K

How much do manager data engineering jobs pay per year?

As of Aug 15, 2026, the average yearly pay for manager data engineering in Katy, TX is $89,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $115,100.00 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 Katy, TX?

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

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

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

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

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

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

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

Infographic showing various Manager Data Engineering job openings in Katy, TX as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $89,129 per year, or $42.9 per hour.

Data Engineering Manager

Daikin

Waller, TX • On-site

Full-time

Re-posted 27 days ago


Daikin rating

7.6

Company rating: 7.6 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

250th of 489 rated machine equipment manufacturers


Job description

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, analytics, and data science initiatives. This will include building and maintaining scalable data pipelines, championing data quality and governance standards, and enabling self-service analytics and advanced data science capabilities. They will partner closely with stakeholders across technology, products, analytics, and business teams to ensure data is a trusted and strategic asset. They will help define the roadmap, architecture, and tools that support current and future data needs-driving operational excellence and innovation at scale.
Position Responsibilities May include:
  • Mentor, and grow a team of data engineers, ensuring high performance, engagement, and career development.
  • Oversee the development and optimization of data pipelines, ELT processes, and data integration systems from various sources.
  • Ensure high availability and performance of data systems.
  • Optimize cost and performance of data infrastructure.
  • Ensure the reliability, performance, and scalability of data infrastructure in cloud or hybrid environments.
  • Collaborate with cross-functional teams including Data Science, Analytics, Product, and Engineering to support data needs and project goals.
  • Define and enforce best practices for data modeling, warehousing, governance, security and quality.
  • Set technical direction and standards for data architecture and engineering practices.
  • Drive best practices in documentation.
  • Champion automation and CI/CD
  • Implement monitoring, observability, and data quality frameworks.
  • Own the architecture, scalability, and reliability of the company's data platform.
  • Translate business requirements into scalable technical solutions.
  • Manage technical projects from concept through implementation, including planning, prioritization, and delivery.
  • Drive hiring, performance management, and career development.
  • Foster a culture of ownership, quality, and continuous improvement.
  • Monitor team performance and ensure adherence to timelines, budgets, and organizational goals.
  • Evaluate and recommend new tools, technologies, and architectures to improve data infrastructure.
  • Participate in strategic planning and roadmap development for the Data Engineering function.
  • Perform other tasks as assigned

Nature & Scope:
  • Ensures work is aligned with the Director's expectations, goals, and vision
  • Accountable for implementation of policies, processes, and procedures for short-term results
  • Decisions and problem-solving are guided by policies, procedures and business plan; receives guidance from Senior Manager/Director
  • Works on difficult to moderately complex issues and projects
  • Provides guidance and training to subordinates
  • Has authority to hire, recommend pay, establish performance and recommend for termination
  • Level of signing authority established by company policy/guidelines

Knowledge & Skills:
  • Strong proficiency in SQL and programming languages such as Python or Java.
  • Experience with modern data platforms such as Snowflake.
  • Expertise in building and optimizing data pipelines and architectures (batch and streaming).
  • Familiarity with cloud platforms (AWS, GCP, Azure) and related data services.
  • Deep understanding of data warehousing concepts, dimensional modeling, and schema design.
  • Experience with DevOps and CI/CD practices in a data engineering context.
  • Proficient MS Office skills - Outlook, Excel, Word and PowerPoint
  • Excellent leadership skills; able to envision, develop, direct, manage, delegate responsibility and authority and motivate an organization
  • Excellent communication skills, verbal and written; strong marketing/business acumen
  • Demonstrates consultative leadership at the individual or team level
  • Capable of communicating with people at all levels of organizations (internal/external)
  • Ability to communicate and inspire a team through accountability, delegation, and recognition
  • Ability to apply good judgement, decision making skills and strong work ethics and integrity on the job

Experience:
  • 8+ years of work experience in data engineering
  • 5+ years of successful leadership experience through managing projects or teams

Education/Certification:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field required. Master's degree preferred. Equivalent practical experience will also be considered.

People Management: Yes
Physical Requirements / Work Environment:
• Must be able to perform essential responsibilities with or without reasonable accommodations
Reports To: VP, Data Management & Strategy
The Company provides equal employment opportunity to all employees and applicants regardless of a person's race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes about individuals with disabilities.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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