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

Horizontal Talent

Data Engineering Manager

Houston, TX · Remote

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 ...

Posted today

Husch Blackwell Llp

Data Engineering Manager

Houston, TX · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Husch Blackwell LLP

Data Engineering Manager

Houston, TX · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

DPR Construction

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 ...

The Jupiter Group

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 ...

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

Arva Intelligence

Data Engineer

Houston, TX · On-site

$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

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

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

Pwc

Data Engineer - Manager

Houston, TX

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 ...

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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 Jul 29, 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, 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 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $92,771 per year, or $44.6 per hour.

Data Engineering Manager

Horizontal Talent

Houston, TX • Remote

Full-time

Posted 13 hours ago

Posted today

Job description

Join a dynamic data leadership role focused on building trusted, scalable data solutions for retail media and analytics. This position offers the chance to shape data strategy, strengthen governance, and enable reporting and insights that support business decisions across multiple teams.

Responsibilities
  • Lead end-to-end data management across ingestion, transformation, integration, quality assurance, governance, and analytics enablement.
  • Define and maintain standards for how data is sourced, processed, validated, documented, and used across platforms.
  • Oversee the design and upkeep of data pipelines that move information across cloud and enterprise systems.
  • Partner with technical and business teams to translate data needs into scalable solutions that support reporting and analysis.
  • Monitor data quality, resolve issues, and help establish strong controls for accuracy, consistency, and reliability.
  • Support data modeling and reporting efforts to ensure datasets are usable for dashboards, self-service analytics, and operational insights.
  • Collaborate with analysts, engineers, and stakeholders to align data outputs with business definitions and reporting needs.
  • Help guide data-related workstreams and coordinate priorities across cross-functional teams.
  • Support retail media and marketing analytics initiatives by ensuring data is available for campaign performance and operational reporting.
Skills
  • 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 integration, and transformation workflows.
  • Familiarity with cloud data platforms such as Google BigQuery, Snowflake, and Microsoft Azure.
  • Working knowledge of Looker and LookML or semantic data modeling concepts.
  • Understanding of data quality, governance, metadata management, and compliance practices.
  • Experience using Python-based data tools such as Pandas, NumPy, or PySpark.
  • Strong problem-solving, communication, and stakeholder management skills.
  • Ability to manage multiple priorities while maintaining data accuracy and consistency.
Preferred Skills
  • Experience supporting retail media networks, digital media, ad tech, or marketing analytics.
  • Background in media, retail, convenience store, or promotional data environments.
  • Experience guiding cross-functional data delivery efforts or coordinating technical workstreams.
  • Familiarity with KPI frameworks, metric governance, and reporting standards.
  • Ability to connect technical details with business goals and communicate clearly with diverse audiences.

Horizontal is committed to fostering an inclusive, respectful, and collaborative workplace where different perspectives are valued. We welcome candidates from all backgrounds and encourage applicants who can contribute to a culture of equity, belonging, and continuous improvement.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.

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