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

Sr.Data Engineer

Austin, TX · On-site

$130K/yr

Data engineering Full time: $120-130k per annum based on the year of experience. Subcon rate: $70 ... Design, build, and manage scalable data pipelines for collecting, storing, processing, and ...

Sr. Data Engineer

Austin, TX · Hybrid

$113.50K - $136.30K/yr

Collaborating with other members of the Data Engineering Team on the design and implementation of ... Ability to effectively manage multiple responsibilities, prioritize conflicting assignments, and ...

New

Data Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

... data engineering practice) to deliver analytics-ready data. * Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field ...

Principal Data Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

Experience in Data Engineering or a related field. * Strong proficiency in AWS (S3, Glue, Lambda ... Proficiency in SQL for querying and managing relational databases. * Experience writing unit and ...

New

AI Data Architect

Austin, TX · On-site +1

$83.20K - $178.80K/yr

Partner with AI engineers, data scientists, and business leaders to align data architecture with financial products, regulatory compliance, and risk management needs. * Provide architectural ...

Data Analytics Project manager

Austin, TX · On-site

$51.25 - $69.50/hr

Supports a Technical Project Manager for a data engineering project with an AI adoption program. * Involves managing cross-functional coordination, tracking deliverables, supporting platform and data ...

New

Data Engineer 1

Austin, TX · On-site

$113.50K - $136.30K/yr

Schwab Technology Services enables the future of how clients manage their money by providing ... Strengthening communication and documentation skills for cross-functional engineering work Key ...

Principal Data Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

Required Skills & Qualifications: • Experience in Data Engineering or a related field. • Strong ... and managing relational databases. • Experience writing unit and integration tests using Pytest ...

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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:
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.
Software Engineer, Data Infrastructure and Engineering

Software Engineer, Data Infrastructure and Engineering

Apple

Austin, TX • On-site

$113.50K - $136.30K/yr

Full-time

Posted yesterday


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

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1! ..Everything we do is designed for trust, connection, and impact. We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes - from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. Our platforms are highly-performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.
We are looking for an ambitious and versatile Software Engineer who will be a key member of our team, delivering data solutions that solve exciting business problems. Job duties range from designing and implementing core data infrastructure, stream-processing capabilities, to supporting critical privacy preserving pipelines. You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 4+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!
4+ years of industry experience building scalable data pipelines and data platformsStrong computer science and data engineering fundamentalsExpertise in programming languages such as Python/Java/Scala/RustExpertise in NoSQL datastores (e.g. Cassandra, Keyspaces, ElastiCache)Expertise in relational databases and SQLExpertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)Expertise in access management , building catalogs , query enginesExpertise in building data compaction toolsExperience building and scaling systems on premise and in the cloudBS or MS in Computer Science, Software Engineering or related technical fields
Strong technical skills with proven experience developing and supporting scalable data infrastructureAbility to communicate effectively with multi-functional technical and non-technical teamsPrior experience in advertising industry is a huge plusContribution to open source distributed system projects

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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