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

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 ...

Luna Data Solutions, Inc.

AI/Data Project Manager

Austin, TX · Hybrid

$51.25 - $69.25/hr

This role supports a Technical Project Manager for a data engineering project with an AI adoption program. * The position involves managing cross-functional coordination, tracking deliverables ...

New

E-Solutions

Lead Data Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

Define and manage business and technical metadata for: * Transaction data * Customer/KYC data ... Partner with data engineering teams to monitor and document ETL/ELT pipelines supporting payment ...

Deloitte

Data Analytics Manager- Data Lake

Austin, TX · On-site

As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions ... Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or ...

Diverse Lynx

Data Engineer - Data Quality (Data EQ)

Austin, TX · On-site

$113.50K - $136.30K/yr

Data Engineering Pipeline DevelopmentDesign| develop| and maintain robust| scalable data pipelines ... Observability Collaborate with data governance teams to enforce data standards| metadata management ...

Sysmind LLC

AWS data engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

... which involves managing data lakes, AWS Athena, Presto, Trino, iQL, S3, and orchestration ... Proficiency in Python, SQL Data Engineering Tools: Experience with AWS and data pipeline ...

Central Health

Data Systems Engineer

Austin, TX

$115.40K - $138.60K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Perform vendor management and oversight as needed. Ability to work outside of standard business ...

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

Manager Data Engineering information

See Georgetown, TX salary details

$28.8K

$90.3K

$159.8K

How much do manager data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data engineering in Georgetown, TX is $90,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $116,600.00 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 popular job titles related to Manager Data Engineering jobs in Georgetown, TX? For Manager Data Engineering jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Georgetown, TX look for? The top searched job categories for Manager Data Engineering jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Manager Data Engineering jobs? Cities near Georgetown, TX with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Georgetown, TX as of May 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $90,259 per year, or $43.4 per hour.
Data Engineering Manager, Finance Data & AI Foundation

Data Engineering Manager, Finance Data & AI Foundation

Apple

Austin, TX • On-site

$198.30K - $342.80K/yr

Full-time

Medical, Dental, Retirement

This job post has expired today. Applications are no longer accepted.

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives, building scalable, high-performance financial data systems that power reporting, analytics, and AI-driven transformation.
This role is execution-focused: leading a team of engineers to build, optimize, and modernize financial data systems that directly support Finance's business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise, solid software engineering fundamentals, and strong collaboration with Finance stakeholders.
Description
You will be responsible for designing and delivering robust financial data solutions across modern data platforms - including cloud data environments and enterprise databases such as SAP HANA - while applying strong software engineering principles to ensure scalability, reliability, and performance.","responsibilities":"Lead the design and development of scalable financial data architectures and solutions, ensuring performance, scalability, and reliability using modern cloud platforms and enterprise databases.
Achieve software engineering excellence by applying SDLC practices, enforcing modular architecture, driving engineering discipline, and enhancing system resiliency.
Prepare structured financial datasets for AI, collaborate on model training and deployment, enable real-time data capabilities, and ensure data consistency and explainability in AI finance use cases.
Optimize query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA, Singlestore, and Apache Iceberg, while supporting native database capabilities and aligning usage with enterprise standards.
Collaborate with Finance users to develop scalable technical solutions, ensure initiative execution with clear milestones, and mentor a team of data/software engineers.
Preferred Qualifications
Experience driving the implementation of data governance and quality standards
Strong stakeholder management skills in Finance or enterprise functions
Minimum Qualifications
Bachelor’s degree in Computer Science, Information Systems, or equivalent
8-12 years of experience in data engineering or software engineering
5+ years of engineering management experience
Strong experience in: Data modeling and transformation, Distributed data platforms or enterprise databases, Software engineering best practices
Experience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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