ZipRecruiter

Log In

1

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

ACCLiiVE

Azure Data Engr

Houston, TX · On-site

$52.50 - $65.25/hr

Azure Data Engr Location : Houston Duration : Long term contract Job Overview : Design and Build ... management Experience with Azure DevOps (ADO) tool for work management Practitioner of Agile/SAFe ...

Ineos

Data Management Lead

Houston, TX

The ideal candidate will bring 10+ years of experience in data architecture, data engineering, or a ... Develop and execute a comprehensive data management practice, including the operating model ...

INEOS

Data Management Lead

Houston, TX · On-site

The ideal candidate will bring 10+ years of experience in data architecture, data engineering, or a ... Develop and execute a comprehensive data management practice, including the operating model ...

Guidehouse

Data Engineer Lead

Houston, TX · On-site

Define technical architecture, engineering standards, and best practices for data integration ... Experience implementing and managing CI/CD pipelines, infrastructure automation, and DevOps ...

GDH

Cloud & Data Engineering Manager

Houston, TX · On-site

$60 - $72/hr

... release management * Design and guide technical solutions across areas such as application development, AWS cloud services, data engineering, and platform modernization * Implement cloud-native ...

YO AI Labs

Snowflake Data Architect

Houston, TX · On-site

$130 - $180/hr

Experience with dbt for data transformations, testing, documentation, and analytics engineering workflows. * Understanding of Apache Iceberg or open table formats, including managed tables, schema ...

Patterson-UTI

Data Ops Lead

Houston, TX · On-site

Partner with platform and SRE teams on scalability, performance, and cost optimization * Manage data infrastructure using Infrastructure as Code (Terraform) * Automation & Tooling * Build and ...

Patterson-UTI

Data Ops Lead

Houston, TX

Partner with platform and SRE teams on scalability, performance, and cost optimization * Manage data infrastructure using Infrastructure as Code (Terraform) * Automation & Tooling * Build and ...

Patterson-UTI

Data Ops Lead

Houston, TX · On-site

Partner with platform and SRE teams on scalability, performance, and cost optimization * Manage data infrastructure using Infrastructure as Code (Terraform) * Automation & Tooling * Build and ...

YO AI Labs

Snowflake Data Architect

Houston, TX

$61 - $78.25/hr

Experience with dbt for data transformations, testing, documentation, and analytics engineering workflows. * Understanding of Apache Iceberg or open table formats, including managed tables, schema ...

Apache Corporation

IT Data Analytics Director

Houston, TX · On-site

$180 - $260/hr

The Director of AI, Data Analytics, Data Engineering, Data Management, and Application Development, located in Houston, TX, is a senior leadership role responsible for overseeing and integrating ...

Andor Tech Inc.

Senior Data Tech Lead

Houston, TX · On-site

Stakeholder management & executive communication Required Skills & Experience Technical Expertise * 12-17 years of experience in data engineering, data architecture, or analytics platforms. * Deep ...

Reynolds Company

Project Manager - Data Center

Houston, TX · On-site

$110 - $150/hr

Bachelor's Degree preferred in Engineering, Construction Management, Business, or related field.* 5+ years of project management experience.* Experience supporting Data Centers, Mission Critical ...

previous pagenext page

Showing results 21-40

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

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 16, 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:

Manager Data Engineering jobs near you
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 Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

$109K - $131K/yr

Full-time

Posted 25 days ago

Job description

Application Deadline: September 1, 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.

Responsibilities:

  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:

  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

Apply