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Manager Data Engineering Jobs in Texas (NOW HIRING)

Data Engineering Lead- Finance

Dallas, TX · On-site

$113K - $136K/yr

Required : • Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). • Proven track record of managing stakeholder expectations and delivering data ...

Data Engineering Lead- Finance

Dallas, TX

$113K - $136K/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 ...

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 ...

Data Engineering Lead- Finance

Austin, TX

$113K - $136K/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 ...

We're looking for a high-impact Manager, Sr. Data Engineering to lead strategy, platform modernization, and delivery for a next-generation data ecosystem powering digital supply chain outcomes. This ...

This role involves setting the technical vision, managing high-performing teams, and aligning data ... Establish data engineering standards, best practices, and governance frameworks across the ...

This role involves setting the technical vision, managing high-performing teams, and aligning data ... Establish data engineering standards, best practices, and governance frameworks across the ...

This role involves setting the technical vision, managing high-performing teams, and aligning data ... Establish data engineering standards, best practices, and governance frameworks across the ...

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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 Jun 10, 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:
Data Engineering Lead- Finance

Data Engineering Lead- Finance

DPR Construction

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Posted 19 days ago


DPR Construction rating

7.8

Company rating: 7.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

25th of 78 rated construction


Job description

Job Summary:
DPR Construction is a leading construction company committed to delivering high-quality, innovative projects. They are looking for a talented Data Engineer to develop robust data solutions that support business goals, collaborating with business leaders and a global engineering team.
Responsibilities:
• Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions.
• Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams.
• Partner with the extended data team to define, develop, and maintain shared data models and definitions.
• Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems.
• Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery.
• Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance.
• Support incident resolution and perform root cause analysis for data-related issues.
• Create and maintain both business requirement and technical requirement documentation
• Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions.
• Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns.
Qualifications:
Required:
• Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS).
• Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
• Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL
• Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST).
• Experience with modern data platforms like Snowflake and Microsoft Fabric.
• Solid understanding of Data Modeling, pipeline orchestration and performance optimization
• Strong problem-solving skills and ability to troubleshoot complex data issues.
• Excellent communication skills, with the ability to work collaboratively in a team environment.
• Familiarity with tools like Power BI for data visualization is a plus.
• Experience working with or coordinating with overseas teams is a strong plus
Preferred:
• Knowledge of Airflow or other orchestration tools.
• Experience working with Git-based workflows and CI/CD pipelines
• Experience in the construction industry or a similar field is a plus but not required.
Company:
DPR Construction is a national commercial building contractor and construction manager. Founded in 1990, the company is headquartered in Redwood City, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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