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

DPR Construction

Data Engineering Lead- Finance

Dallas, TX · On-site

$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 ...

Forward Air

Manager, Data and Analytics

Coppell, TX

Lead, mentor, and develop a team of Data Engineers and Analytics Engineers, fostering a culture of engineering excellence and continuous improvement * Establish team goals, manage performance, and ...

Artius Solutions

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

As a Databricks Lead, you will be a critical member of our data engineering team, responsible for ... Manage and optimize AWS resources for Databricks workloads. * Ensure secure and compliant ...

Pwc

Data Engineer - Manager

Dallas, 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 ...

ELEVATE AVIATION GROUP LLC

Data Engineer

Plano, TX

$107K - $128K/yr

Design and manage databases * Build and maintain data warehouses, data lakes, or data mesh architectures * Work with Product and Engineering to understand data requirements * Provide data access and ...

Elevate Jet

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

Design and manage databases * Build and maintain data warehouses, data lakes, or data mesh architectures * Work with Product and Engineering to understand data requirements * Provide data access and ...

Sagent

Data Services Engineer SR

Dallas, TX

$113K - $136K/yr

Cloud & Database Engineering: * Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, or GCP), leveraging managed services for storage, compute, and orchestration. * Design ...

Elevate Aviation Group LLC

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

Design and manage databases * Build and maintain data warehouses, data lakes, or data mesh architectures * Work with Product and Engineering to understand data requirements * Provide data access and ...

Genius Road

Manager, Data Management #3291

Dallas, TX · Hybrid

Manager, Data Management Contract Position: 12 months + potential extension Location: Dallas, TX ... Experience working within DevOps, DataOps, or agile delivery environments * Excellent communication ...

Sarian, Inc.

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

... engineering solutions. You will work closely with data analysts, data scientists, and software ... Deploy and manage data workflows in cloud platforms (AWS, Azure, GCP). * Utilize SQL and NoSQL ...

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Showing results 21-40

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

Manager Data Engineering information

See Prosper, TX salary details

$28.4K

$89K

$157.5K

How much do manager data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager data engineering in Prosper, TX is $88,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $114,900.00 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?

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 Prosper, TX? The most popular types of Data Engineering jobs in Prosper, TX are:
What are popular job titles related to Manager Data Engineering jobs in Prosper, TX? For Manager Data Engineering jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Prosper, TX look for? The top searched job categories for Manager Data Engineering jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Manager Data Engineering jobs? Cities near Prosper, TX with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Prosper, TX as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $88,964 per year, or $42.8 per hour.

Data Engineering Lead- Finance

DPR Construction

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 20 days ago

DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

18th of 80 rated construction

Job description

Job DescriptionWe are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals.
This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations.
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
  • 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 Skills
  • 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.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.

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