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Analytics Engineer Jobs in Georgetown, TX (NOW HIRING)

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Build data products that boost productivity for engineers, analysts, and data scientists * Engineer high-quality features for modeling in close collaboration with data scientists and business ...

Work hand in hand with Data Engineers and Analytics Engineers to get marketing data into the ... warehouse and modeled. Define requirements, explore raw data, and contribute to data models that ...

Work hand in hand with Data Engineers and Analytics Engineers to get marketing data into the ... warehouse and modeled. Define requirements, explore raw data, and contribute to data models that ...

Sr Data Engineer

Austin, TX

$114K - $137K/yr

Build data products that boost productivity for engineers, analysts, and data scientists * Engineer high-quality features for modeling in close collaboration with data scientists and business ...

Description As a GPU Electrical Analysis engineer, you will work closely with the Physical Design team to design power grid specification that achieves the best balance between power integrity ...

Description As a GPU Electrical Analysis engineer, you will work closely with the Physical Design team to design power grid specification that achieves the best balance between power integrity ...

Description As a GPU Electrical Analysis engineer, you will work closely with the Physical Design team to design power grid specification that achieves the best balance between power integrity ...

Showing results 41-60

Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Georgetown, TX? The most popular types of Analytics Engineer jobs in Georgetown, TX are:
What job categories do people searching Analytics Engineer jobs in Georgetown, TX look for? The top searched job categories for Analytics Engineer jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Analytics Engineer jobs? Cities near Georgetown, TX with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

Graphics (GPU) Performance Analysis Engineer

Apple

Austin, TX • On-site

Full-time

Re-posted 14 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Do you love creating elegant solutions to highly complex challenges? In our Silicon Technologies group, we help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions! Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices. In this role as part of the GPU Performance Analysis team, you will be working with architecture, design, and software partners on performance analysis, tuning, and debug of Apple's future GPU architectures!
Description
As a GPU Performance Analysis Engineer, your responsibilities will include the following:
- Developing performance test plans to validate GPU performance.
- Analyzing performance issues to identify hardware and software problems.
- Proposing novel hardware solutions to improve GPU performance.
- Developing tools to aid in the efficient measurement, communication and improvement of GPU performance.
- Validating the functionality and quantify the performance benefit of the features and algorithms implemented in hardware and software.
Minimum Qualifications
Experience in computer architecture.
Experience in GPU architecture.
Experience in GPU or CPU performance analysis.
Experience in programming with OpenGL/CL and/or Metal API.
Programming skills in Python, C and C++.
BS + minimum of 3 years of relevant experience.
Preferred Qualifications
We are looking for fast learners with good problem solving and analytical skills.
Ability to work well in a team and be productive under aggressive schedules.
Excellent communications skills, self-motivated and well organized.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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