ZipRecruiter

Log In

1

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

HEB

Data Engineering Manager

Dallas, TX

This leader will manage and develop a team of Data Engineers responsible for building reliable, secure, and high-performance data pipelines, machine learning data infrastructure, and customer data ...

Avanade

Associate Manager, Data Engineering

Irving, TX · On-site

Avanade is a leader in Data & AI solutions, and they are seeking an Associate Manager for their Data Engineering team. The role involves creating innovative analytics solutions using Microsoft cloud ...

Owens & Minor

Senior Manager, Data Engineering

Dallas, TX · On-site +1

$140K - $155K/yr

Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI developers -Establishdelivery standards, performance expectations, and career development ...

Husch Blackwell LLP

Data Engineering Manager

Dallas, 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

Dallas, 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 ...

Core Specialty

Director, Data Engineering

Dallas, TX · On-site

The remaining 40% will be focused on strategic alignment, technical direction, and resource management for the Data Engineering team. A key part of the mandate is ensuring the platform remains AI/ML ...

Posted today

1 point system

Data Engineering Manager

Dallas, TX · On-site

$113K - $136K/yr

Qualifications * 6+ years of experience in data engineering and delivery leadership. * Proven track record managing delivery of Snowflake-based data platforms (pipelines, ETL, semantic layers). Hands ...

DPR Construction

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 ...

Bank OZK

Associate, Data Engineering

Dallas, TX · On-site

Resolve bugs and data issues as identified by product, project management, or governance functions. * Provide work estimates while communicating with Data Engineering Management when assignments ...

Bank OZK

Associate, Data Engineering

Dallas, TX

Resolve bugs and data issues as identified by product, project management, or governance functions. * Provide work estimates while communicating with Data Engineering Management when assignments ...

previous pagenext page

Showing results 21-40

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

Manager Data Engineering information

See Irving, TX salary details

$29.8K

$93.3K

$165.2K

How much do manager data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for manager data engineering in Irving, TX is $93,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $120,500.00 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 Irving, TX? The most popular types of Data Engineering jobs in Irving, TX are:
What are popular job titles related to Manager Data Engineering jobs in Irving, TX? For Manager Data Engineering jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Irving, TX look for? The top searched job categories for Manager Data Engineering jobs in Irving, TX are:
What cities near Irving, TX are hiring for Manager Data Engineering jobs? Cities near Irving, TX with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Irving, TX as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $93,283 per year, or $44.8 per hour.

Sr. Manager Data Engineering

Charles Schwab Inc.

Southlake, TX • On-site

$170K - $180K/yr

Full-time

Posted 27 days ago

Job description

Your Opportunity
Do you want to be part of an enterprise data solutions organization managing over 4+ petabytes of data and powering the next-generation analytics and operational data platforms for a leading financial firm with over $10 trillion in assets under management?
At Schwab, the Operational Data Exchange (ODX) organization owns the strategy, architecture, implementation, delivery, and support of enterprise operational data platforms. These platforms are mission-critical to the Contact Center's ongoing modernization, supporting large-scale application transformations (e.g., movement from Genesys to NICE), increased adoption of AI-driven capabilities, and customer experience optimization.
We are seeking a Sr. Manager in a Technical Delivery Lead capacity to provide hands-on technical leadership across the Contact Center Data Exchange portfolio. This is a critical position and is responsible for ensuring that Contact Center data platform modernization keeps pace with application transformation and AI initiatives. The ideal candidate brings recent hands-on engineering experience, strong architectural judgment, and the ability to communicate complex technical topics clearly to senior leadership.
What you'll do:
  • Own end-to-end technical delivery for Contact Center operational data platforms, ensuring reliability, scalability, and alignment with evolving business priorities.
  • Provide technical leadership for the modernization of Contact Center data architecture, supporting application migrations, AI-driven capabilities, and real-time operational data use cases.
  • Lead the Oracle DB migration from on-prem to GCP, driving cloud-native design, resilience, performance optimization, and cost efficiency.
  • Design and oversee scalable batch and streaming data pipelines using Java, Spring, Kafka-based technologies, and GCP native services (Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud SQL, Cloud Storage).
  • Establish and enforce engineering best practices for coding standards, CI/CD, data quality, reliability, security, and observability.
  • Maintain hands-on involvement in solution design and complex problem-solving while providing technical direction to engineers across onshore and offshore teams.
  • Partner closely with Contact Center business leaders, platform teams, and upstream application owners to define data contracts, integration patterns, and delivery roadmaps.
  • Act as a technical liaison to senior leadership, clearly communicating risks, tradeoffs, modernization progress, and platform health.
  • Proactively identify and mitigate technical debt, delivery risks, and scalability constraints that could impact AI enablement or customer experience outcomes.
  • Support production operations by driving root-cause analysis, improving platform stability, and reducing incident recurrence through architectural improvements.
  • Lead, coach, and develop engineering managers and senior engineers, fostering a culture of accountability, inclusion, and continuous improvement.
  • Own talent strategy for the Contact Center Data Exchange domain, including hiring, onboarding, performance management, career development, and succession planning.
  • Set clear expectations and goals for teams, aligning individual development plans with organizational outcomes and delivery commitments.
  • Build sustainable delivery capacity by strengthening leadership bench, improving execution predictability, and promoting strong team ownership across the portfolio.

What you have
Required Qualifications
  • 15+ years of recent, hands-on data engineering experience, with a strong focus on real-time data ingestions, APIs, and distributed systems.
  • 5+ years of technical leadership experience, owning delivery for complex, business-critical platforms.
  • 5+ years of people leadership experience, leading multiple cross-functional engineering teams.
  • Demonstrated experience in building scalable data ingestion frameworks to acquire and integrate data from diverse source systems in real-time, near real-time, and batch modes into operational data stores and enterprise data warehouses for downstream consumption.
  • Strong understanding of data modeling and storage strategies optimized for both operational and analytical use cases, including designing data structures that support reporting, low-latency access, and high-performance analytics.
  • Hands-on experience leveraging AI-assisted development tools (e.g., Copilot or similar) to accelerate engineering productivity, automate code generation and testing, and drive measurable improvements in developer efficiency and delivery timelines.
  • Deep expertise with Java, Spring (Boot/Batch), REST APIs, Microservices, and SQL.
  • Strong public cloud experience (3+ years), with preference for GCP and cloud-native architecture patterns.
  • Hands-on experience with streaming technologies such as Kafka, Pub/Sub, Kinesis, or RabbitMQ.
  • Proven experience leading large-scale data platform migrations or modernization initiatives.
  • Strong CI/CD experience using tools such as GitHub, Jenkins, Bamboo, Bitbucket, and automated testing frameworks.
  • Demonstrated ability to communicate effectively with senior leadership, including presenting technical strategies, risks, and outcomes to non-technical audiences.
  • Recent hands-on experience is required-this role is expected to actively engage in design, troubleshooting, and critical technical decisions.
  • Demonstrated success building and scaling high-performing engineering organizations with strong retention and engagement.

Preferred Qualifications
  • Contact Center domain experience, particularly within a data organization, supporting platforms such as NICE, Cresta, or similar ecosystems.
  • Experience supporting AI-enabled operational use cases, real-time analytics, or intelligent routing systems.
  • Experience with Operational Data Stores / Exchanges, enterprise data integration, and high-availability data platforms.
  • Working knowledge of data warehousing concepts, Informatica IDMC / Power Center, or similar ETL technologies.
  • Prior experience serving as a technical lead for distributed, cross-geography teams.

Apply