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

Visa

Senior Manager, Data Engineering

Austin, TX · On-site

$162K/yr

The Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store ...

Visa

Senior Manager, Data Engineering

Austin, TX

$162K/yr

The Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store ...

Visa

Senior Manager, Data Engineering

Austin, TX

$162K/yr

The Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store ...

K&L Gates

Data Program Manager

Austin, TX · On-site

$51.25 - $69.50/hr

This role collaborates with engineering, analytics, AI, and business teams to ensure execution, manage dependencies, track metrics, and resolve blockers. It ensures data programs deliver measurable ...

Ci

Data Engineering Manager

Austin, TX

Establish engineering best practices across data pipelines, modeling, data quality, lineage, metadata management, documentation and operational monitoring. Oversee sprint planning, backlog ...

K&L Gates

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Senior Manager, Data Engineering; Senior Manager, Automation and Development; Senior Manager, Enterprise Applications; Senior Applications Architect; Senior Data Architect; Team Lead, Workflow and ...

DPR Construction

Data Engineering Lead- Finance

Austin, 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 ...

Eptura

Data Engineering Analyst

Austin, TX · On-site

Manage scheduled dataset refreshes and proactively troubleshoot refresh failures and data ... Collaborate with data engineers, analysts, and business partners to continuously improve reporting ...

Smadex

Data Engineering Team Lead

Austin, TX · On-site

They are seeking a highly skilled Data Engineering Team Lead to manage the core Data Engineering group, oversee the formation of specialized sub-teams, and lead the strategic expansion of data ...

Pwc

Data Engineer - Manager

Austin, 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 Austin, TX

Manager Data Engineering information

See Austin, TX salary details

$30.7K

$96.3K

$170.5K

How much do manager data engineering jobs pay per year?

As of Jul 17, 2026, the average yearly pay for manager data engineering in Austin, TX is $96,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 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 Austin, TX? The most popular types of Data Engineering jobs in Austin, TX are:
What are popular job titles related to Manager Data Engineering jobs in Austin, TX? For Manager Data Engineering jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Austin, TX look for? The top searched job categories for Manager Data Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Manager Data Engineering jobs? Cities near Austin, TX with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Senior Manager, Data Engineering

Senior Manager, Data Engineering

Visa

Austin, TX • On-site

$162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Visa rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

4th of 20 rated payment service providers

Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job Description
The Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources. This role is responsible for establishing processes, automations, and big data systems based on business and technical requirements, ensuring data quality, troubleshooting user issues in large distributed systems, and creating machine learning pipelines. The Senior Manager acts as a leader for engineering teams, removing blockers, enabling productivity, and fostering an inclusive, high-performance culture. The role also involves coaching and developing engineers to adapt to evolving tools, frameworks, and AI-driven workflows, and partnering closely with product managers, QA, risk, compliance, and security functions to deliver safe, transparent, and customer-centric solutions.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:
  • Lead the design, development, and deployment of scalable data engineering solutions and big data systems.
  • Oversee the creation and maintenance of data pipelines, ensuring data quality, integrity, and consistency across multiple sources and platforms.
  • Guide teams in troubleshooting and resolving complex issues in distributed systems and data pipelines.
  • Drive the adoption of automation, CI/CD, and quality engineering practices at scale.
  • Coach and mentor engineering teams, fostering a culture of continuous improvement and technical excellence.
  • Collaborate with cross-functional partners to ensure solutions meet business priorities, regulatory requirements, and data governance standards.
  • Ensure adherence to data management principles, governance, and security protocols throughout the data lifecycle.
  • Lead the implementation of advanced data protocols, reduction techniques, and aggregation approaches to validate and optimize data quality.
  • Oversee the development and maintenance of technical and data documentation, and ensure best practices in code quality and review processes.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
  • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications:
  • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD.
  • Experience in leading teams in the design, development, and deployment of large-scale data engineering solutions.
  • Experience with big data technologies such as Hadoop, Spark, and distributed data systems.
  • Experience in building and maintaining data pipelines, ETL processes, and data quality frameworks.
  • Experience with programming languages and tools such as Python, SQL, and version control systems (e.g., Git).
  • Experience in troubleshooting and resolving issues in complex, high-volume data environments.
  • Experience in implementing data governance, security, and compliance standards.
  • Experience in coaching and mentoring engineering teams.
  • Experience collaborating with cross-functional teams to deliver business solutions.
  • Experience in developing and maintaining technical and data documentation.
  • Experience with cloud platforms and services (e.g., AWS, Azure, GCP) for data engineering solutions.
  • Experience with machine learning and AI-powered data solutions.
  • Experience in developing large-scale, enterprise-class distributed systems of high availability and low latency.
  • Experience in leading cross-functional teams in a matrixed organization.

U.S. Applicants Only
The estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom

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About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958

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