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

Manager, Data Engineering

Austin, TX ยท On-site

$174K - $187K/yr

Develop, maintain, and support large-scale and complex ETL and distributed Big Data applications ... Ensure and carry out the Change Management hygiene for all changes propagated to production from a ...

Develop, maintain, and support large-scale and complex ETL and distributed Big Data applications ... Ensure and carry out the Change Management hygiene for all changes propagated to production from a ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Program Manager

Austin, TX ยท 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 ...

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

Senior Data Engineer

Austin, TX ยท 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 ...

Data Engineering Lead- Finance

Austin, TX ยท 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 ...

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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 Aug 7, 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?

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 Austin, TX? The most popular types of Data Engineering jobs in Austin, TX 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

Charles Schwab Inc.

Austin, TX โ€ข On-site

$174K - $187K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Job Duties: Develop, maintain, and support large-scale and complex ETL and distributed Big Data applications. Work with platform architects to ensure technical integrity and consistency of solutions. Proactively detect, troubleshoot, and resolve all issues affecting production applications relating to developmental and external team coordination. Provide clear, concise, and timely communication to affected parties during the investigation and resolution of any individual or system-wide outages. Ensure and carry out the Change Management hygiene for all changes propagated to production from a support and Steady State transition standpoint. Assist development teams in application development to ensure new systems or projects meet the Production Readiness standards. Work with business stakeholders to educate and navigate them through the Schwab Technology Services (STS) standards and policies for new projects, or enhancements to existing investments. Efficiently navigate and support Incident and Change Management process with an end- to-end understanding of the system flows and technology landscape. Constantly update knowledge repository and ensure seamless availability and accessibility of information regarding support related activities or issues. Service all requests for data or other activities that require access to Production systems.
What you have
Job Requirements: Requires Bachelor's in Computer Science, Computer Engineering, Mechanical Engineering, or a related field and 60 months of progressive, post-bachelor's experience in a related occupation. . Experience must include 60 months involving the following: IICS; Oracle, Teradata, DB2, MS SQL, and Hive; Autosys and Control M; Shell Scripting; Toad, Nexus Query Chameleon, Remedy, Service Now, Jira, GitHub, Splunk, Putty; Talend; Cloud Data Platforms including Google Big Query, GCS bucket and Data Proc, or Snowflake; and Python Scripting.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).