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

JLL

Data Center - Talent Network

Austin, TX

Senior Electrical Studies Engineers * Associate Project Managers - Critical Environments What These Jobs Involve You'll be at the forefront of data center innovation, working on cutting-edge ...

Accenture

GCP Sales Engineer - Data & AI

Austin, TX · On-site

$163K - $369K/yr

Avoid duplication across Data & AI and Cloud teams. Go-to-Market & Commercialization * Package ... Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must ...

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

Associate Data Engineer information

See Georgetown, TX salary details

$9

$17

$28

How much do associate data engineer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for associate data engineer in Georgetown, TX is $17.41, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $18.56 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can reach or exceed $500,000 in total compensation. Such roles often require leadership responsibilities, specialized certifications, and work in high-demand industries or companies with competitive pay structures.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the salary of a 2.5 year data engineer?

A data engineer with approximately 2.5 years of experience can expect a salary range typically between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in tools like SQL, Python, and cloud platforms can influence compensation levels.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and typically collaborate with data scientists and engineers to ensure data quality and accessibility.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Georgetown, TX? The most popular types of Data Engineer jobs in Georgetown, TX are:
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What job categories do people searching Associate Data Engineer jobs in Georgetown, TX look for? The top searched job categories for Associate Data Engineer jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Associate Data Engineer jobs? Cities near Georgetown, TX with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Snowflake Platform Engineer, AI & Data Platforms (AiDP)

Snowflake Platform Engineer, AI & Data Platforms (AiDP)

Apple

Austin, TX • Remote

$113K - $136K/yr

Full-time

Posted 19 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

A specialized role for a Snowflake Platform Administration & Performance Engineer role focuses on the seamless synergy between automated administration and high-tier workload optimization. This position is about transforming the data warehouse into an autonomous, high-performance engine that fuels real-time decision-making.
Performance Tuning & Optimization: Proactively monitor and tune workloads using Snowsight Performance Explorer and account usage schemas.You will optimize query execution by analyzing query profiles for disk spillage, identifying Cartesian joins, and implementing Search Optimization Services or Query Acceleration where necessary. Lakehouse Implementation: Design and manage unified storage using Apache Iceberg to allow open-format data to be queried directly in Snowflake with warehouse-level performance. Python-Driven Automation: Develop advanced scripts and pipelines using Snowpark Python and Snowpark pandas APIs for scalable data transformations. Automate administrative tasks such as environment provisioning and security policy enforcement through Infrastructure as Code (IaC) tools like Terraform.Cloud: Manage Snowflake Iceberg Tables in AWS cloud.Experience in cloud s3, gateway, private link, EKS, Load Balancing, VPC peering, and secure data sharingAdvanced Cost Management: Implement autonomous warehouse management, right-sizing clusters based on real-time usage patterns, and configuring auto-suspend/resume with 60-second timeouts to eliminate idle compute wasteSnowflake Platform Administration: Manage accounts, virtual warehouses, and database objects. This includes configuring auto-scaling, monitoring warehouse utilization, and implementing backup strategies via Time Travel and CloningSecurity & Governance: Implement Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), and data masking policies. You are responsible for ensuring compliance with data protection standards like GDPR or HIPAA
Snowflake experienceData Engineer or Database Administration or Performance Tuning experience Architecture Knowledge: Deep understanding of multi-cluster shared data architecture and micro-partitioningBachelor's Degree, Computer Science or equivalent degree or experience
2+ years in database administration or Performance Tuning with specific hands-on Snowflake experienceMaster's Degree, Computer Science or equivalent degreeArchitecture Knowledge: Deep understanding of Snowflake's multi-cluster shared data architecture and micro-partitioning.Certifications: SnowPro Core Certification is highly preferred, along with cloud-specific associate or professional certificationsPerformance Tuning & Optimization: Proactively monitor and tune workloads using Snowsight Performance Explorer and ACCOUNT USAGE schemas.You will optimize query execution by analyzing query profiles for disk spillage, identifying Cartesian joins, and implementing Search Optimization Services or Query Acceleration where necessary.Cost Optimization: Analyze credit consumption and query performance to reduce spend while maintaining SLAsPython-Driven Automation: Develop advanced scripts and pipelines using Snowpark Python andSnowpark pandas APIs for scalable data transformations. Automate administrative tasks such as environment provisioning and security policy enforcement through Infrastructure as Code (IaC) tools like Terraform.

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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