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

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Integrate heterogeneous datasets, including field data, management data, soil data, and weather ... Apply software engineering best practices including testing, version control, and documentation

Pwc

Data Engineer - Manager

Houston, 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 ...

Foxconn Industrial Internet - FII

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 jmw6hXtnKW

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

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 ...

Foxconn Industrial Internet - FII

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... Engineering, Data Science, Data Management, Information Systems or related fields. Preferred : • Familiar with electronics manufacturing industry domain know-how. • Experience with Git ...

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 ...

New

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 ...

Techouts, Inc

Data Engineer - Dynamics 365 exp

Houston, TX · On-site

$109K - $131K/yr

Experience creating and managing Microsoft Fabric data pipelines or Azure Data Factory , including orchestration, monitoring, and error handling. * Expertise in Python for data engineering, advanced ...

Crescent Energy

Data Platform Manager

Houston, TX · On-site

The Data Platform Manager is responsible for the leadership, delivery, reliability, and continuous evolution of the enterprise data platform, overseeing data engineers and ensuring the organization ...

Crescent Energy

Data Platform Manager

Houston, TX · On-site

The Data Platform Manager is responsible for the leadership, delivery, reliability, and continuous ... This role oversees data engineers, architects and database administrators, ensuring the ...

Crescent Energy

Data Platform Manager

Houston, TX · On-site

The Data Platform Manager is responsible for the leadership, delivery, reliability, and continuous ... This role oversees data engineers, architects and database administrators, ensuring the ...

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 ...

GC-Squared Resources, LLC

Data Ops Lead

Houston, TX · On-site

... and SRE teams on scalability, performance, and cost optimization • Manage data infrastructure using Infrastructure as Code (Terraform) • Build and maintain Python-based automation for data ...

Patterson-UTI

Data Ops Lead

Houston, TX · On-site

... and SRE teams on scalability, performance, and cost optimization • Manage data infrastructure using Infrastructure as Code (Terraform) • Build and maintain Python-based automation for data ...

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Showing results 21-40

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

Manager Data Engineering information

See Houston, TX salary details

$29.6K

$92.8K

$164.3K

How much do manager data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for manager data engineering in Houston, TX is $92,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $119,800.00 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 Houston, TX? The most popular types of Data Engineering jobs in Houston, TX are:
What are popular job titles related to Manager Data Engineering jobs in Houston, TX? For Manager Data Engineering jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Houston, TX look for? The top searched job categories for Manager Data Engineering jobs in Houston, TX are:
What cities near Houston, TX are hiring for Manager Data Engineering jobs? Cities near Houston, TX with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Houston, TX as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $92,771 per year, or $44.6 per hour.

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Other

Re-posted 21 days ago

Job description

Job Title:                          Data Engineer 

Department:                     Modeling & Analytics

Reports to:                       Lead Modeling Scientist

Location:                          Remote

Base Salary Range:        $95k - $130k

General Position Description

The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.

In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

Primary Job Responsibilities

Data Pipeline and Workflow Development

  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems

  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • Implement data storage solutions using relational, spatial, and object-based databases
  • Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage

Data Quality, Governance, and Auditability

  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration

  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements

  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field

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