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

Paradigm

Data Engineering Developer

Irving, TX · Remote

We are looking for a Data Engineering Developer to join our team. If you love data - cleaning it ... You are agile and able to adapt to changing demands and manage multiple priorities in a fast-paced ...

West Monroe

Data Engineering Director

Dallas, TX · On-site

Manage and influence multi-disciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver ...

Saxon Global

Data Engineering Manager

Coppell, TX · On-site

Snowflake (data modeling, performance optimization, RBAC, Bronze/Silver/Gold architecture) * DBT ... offshore engineering teams. * Excellent delivery and risk management skills--able to foresee ...

McKesson

Sr Director , Data Engineering

Irving, TX · Remote

This role will define and drive the strategic vision for data engineering across various USPD while managing large-scale data operations built on modern data stack. This role involves collaborating ...

McKesson

Sr Director , Data Engineering

Irving, TX · Remote

This role will define and drive the strategic vision for data engineering across various USPD while managing large-scale data operations built on modern data stack. This role involves collaborating ...

Phenom People

Data Engineer

Plano, TX · Hybrid

$110.10K - $132.20K/yr

... engineering pipelines in the organization. * Responsible for adopting best practices around systems integration, security, performance, and data management defined within the organization.

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

Fort Worth, 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 ...

Pwc

Data Engineer - Manager

Dallas, 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 ...

Charles Schwab

Specialist - Data Engineering

Westlake, TX · On-site

$109.90K - $132K/yr

Implement and manage secure credential handling using enterprise secrets management tools ... Requires Bachelor's in Computer Science, Engineering Data Science, or a related field and 24 months ...

LTM

Specialist - Data Engineering

Irving, TX · On-site

... managing task dependencies SLAs etc to ensure timely data delivery and corresponding automated ... Engineering team where 70percent of effort will be for developing automation frameworks for testing ...

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All JobsManager Data Engineering JobsManager Data Engineering Jobs in Frisco, TX

Manager Data Engineering information

See Frisco, TX salary details

$29K

$90.9K

$161K

How much do manager data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data engineering in Frisco, TX is $90,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $117,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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 most commonly searched types of Data Engineering jobs in Frisco, TX? The most popular types of Data Engineering jobs in Frisco, TX are:
What are popular job titles related to Manager Data Engineering jobs in Frisco, TX? For Manager Data Engineering jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Frisco, TX look for? The top searched job categories for Manager Data Engineering jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Manager Data Engineering jobs? Cities near Frisco, TX with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Frisco, TX as of May 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $90,921 per year, or $43.7 per hour.

Specialist - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Irving, TX • On-site

$109.90K - $132K/yr

Full-time

Posted 10 days ago

Job description

Job Title Azure Data Engineer
Location Irving TX onsite
Desired Skills
1Possess a minimum of 5 years of experience in data engineering and development
2Strong experience in designing and implementing data solutions using Azure data services Azure Databricks Azure Data Lake Azure Synapse Analytics Azure Data Factory
3Have a strong background in Retail CPG domain
4Proficiency in SQL TSQL and data modelling techniques
5Experience with PySpark and orchestration tools like Apache Airflow are highly desirable
6Hands on experience with scripting languages such as Python for data processing and manipulation
7Strong analytical and problemsolving skills
8Excellent communication and interpersonal skills with ability to work effectively in a collaborative team environment
9Knowledge on Databricks Unity Catalog and visualization tools like Power BI is a plus
Roles and responsibilities
1Develop and optimize data workflows using PySpark ADLS and Databricks workflows to support business objectives
2Implement and maintain data pipelines to ensure efficient data processing and storage
3Collaborate with crossfunctional teams to gather requirements and deliver data solutions that meet business needs
4Provide technical expertise in the design and implementation of data solutions ensuring scalability and performance
5Monitor and troubleshoot data workflows to ensure reliability and accuracy of data processing
6Apply Spark in Python for advanced data processing and analytics
7Build automation solutions and utilities to eliminate manual efforts and repetitive tasks
8Utilize Databricks SQL for effective data management and querying
9Implement monitoring solutions in Azure to track resource utilization performance and health of data workflows
10Manage and organize data assets using Databricks Unity Catalog
11Leverage Azure DevOps for continuous integration and deployment of data solutions
12Secure data workflows using Azure Key Vault and ensure compliance with data security standards

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