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Aws Data Engineer Jobs in Georgetown, TX (NOW HIRING)

Apple

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase ... as AWS and Kubernetes Experience with streaming interfaces and pipelines a plus Ability to ...

Socket.dev

Staff Data Engineer

Austin, TX · On-site

$180 - $240/hr

Description We are looking for a Staff Data Engineer to lead the data engineering and data ... Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc) * Conceptually familiar with OSI ...

Career Opportunities

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to architect, build, and maintain our next-generation ... Knowledge of Azure/GCP services or similar AWS core services (S3, Lambda, IAM). * Experience ...

Self Financial

Staff Data Engineer

Austin, TX · On-site

$160K - $195K/yr

Familiarity with AWS data warehousing tools * Experience with common software engineering tools such as Git, JIRA, Confluence and similar platforms * Familiarity with Apache Airflow and Python

Apple

Staff Data Engineer

Austin, TX · On-site

Description We are looking for a Staff Data Engineer to lead the data engineering and data ... AWS cloud resources (S3, EC2, RDS etc) Conceptually familiar with OSI model and understanding of ...

Sarian, Inc.

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Role: Sr. Snowflake Data Engineer/only W2 Location: Austin, TX Onsite position Fulltime Position ... Experience with building Cloud Native applications using AWS. * Hands-on experience with ETL and ...

LPL Financial

Principal Data Architect

Austin, TX

AWS Solutions Architect Professional, AWS Data Engineer, or related cloud certifications. * Experience implementing Lakehouse architectures using Apache Iceberg, Delta Lake, or similar technologies.

Sarian, Inc.

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Role: Sr. Snowflake Data Engineer Location: Austin, TX - Fulltime Position Minimum Qualifications ... Experience with building Cloud Native applications using AWS. Preferred Qualifications: * Hands-on ...

Omega Solutions, Inc.

Big data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Omega Solutions, Inc. is seeking a Big Data Engineer to join their team. The role involves working ... AWS cloud • 6+ years of experience in SNOWFLAKE • 8+ years of experience in Python and data ...

SpyCloud

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... Build and optimize real-time and batch data pipelines using AWS tools (e.g, Lambda, S3, DynamoDB ...

Base Power Company

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a Software Engineer on the Data Infrastructure team, you will design, build, and operate the ... Familiarity with cloud infrastructure and infrastructure-as-code (e.g., GCP or AWS, Terraform)

Pwc

GenAI Python Systems Engineer-Director

Austin, TX · On-site

$155K - $410K/yr

... AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks ...

CertifID LLC

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

About This Role We're seeking a talented and driven Data Engineer to help us elevate our data ... Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase ... as AWS and Kubernetes Experience with streaming interfaces and pipelines a plus Ability to ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase ... as AWS and Kubernetes Experience with streaming interfaces and pipelines a plus Ability to ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase ... as AWS and Kubernetes Experience with streaming interfaces and pipelines a plus Ability to ...

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Showing results 41-60

All JobsAws Data Engineer JobsAws Data Engineer Jobs in Georgetown, TX

Aws Data Engineer information

See Georgetown, TX salary details

$41.3K

$120.5K

$164.9K

How much do aws data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for aws data engineer in Georgetown, TX is $120,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $127,800.00 per year, depending on experience, location, and employer.

What is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

What are the key skills and qualifications needed to thrive as an AWS data engineer?

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

What is the difference between Aws Data Engineer vs Data Analyst?

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

What are the most commonly searched types of Aws Data Engineer jobs in Georgetown, TX?

The most popular types of Aws Data Engineer jobs in Georgetown, TX are:

What are popular job titles related to Aws Data Engineer jobs in Georgetown, TX?

For Aws Data Engineer jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Aws Data Engineer jobs in Georgetown, TX look for?

The top searched job categories for Aws Data Engineer jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Aws Data Engineer jobs?

Cities near Georgetown, TX with the most Aws Data Engineer job openings:

Aws Data Engineer jobs near you
Infographic showing various Aws Data Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $120,522 per year, or $57.9 per hour.

Finance Data Engineer

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 26 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent, and architecturally sound solutions that are aligned with business needs.
This role requires working cross-functionally with business users, IS&T, data scientists and other engineers to develop and deploy data services and pipelines. An ability to acquire knowledge of Finance business processes is important.
You will be working in an enterprise data warehouse and lakehouse environments to help identify and combine data in an efficient, scalable manner to help answer business questions.
Description
• Work closely with data scientists, machine learning engineers, software engineers, and business partners to identify, capture, collect, load and format data from the external sources, internal systems and the data warehouse.
• Develop, test, deploy, monitor, document and troubleshoot data pipelines and feature-ready datasets
• Collaborate with other engineers to define and adopt best practices for translate finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows
• Identify and review capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
Minimum Qualifications
5+ years of relevant Data Engineering experience
Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with five or more years of experience
Preferred Qualifications
Effective Python, shell and SQL programmer
Hands on experience with database design and architecture in cloud data warehouses (Snowflake) and lakehouse environments (s3)
Ability to implement end to end encryption and decryption policies as part of sensitive data pipelines and semantic views or other data sources
Experience with the data development lifecycle and its associated CI/CD and version control components and tooling (Jenkins, Git, Other)
Exposure to cloud storage and orchestration tooling such as AWS and Kubernetes
Experience with streaming interfaces and pipelines a plus
Ability to implement data and automation services via RESTful interfaces
Appreciation for data quality and validation in every pipeline
Finance and accounting process experience a plus

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

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