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

... Engineer with an AI/Solutions Architect mindset to join our solutions development, Decision ... associate experience and enable speed with AI agents, MCPs (Model Context Protocols), and agentic ...

... Engineer with an AI/Solutions Architect mindset to join our solutions development, Decision ... associate experience and enable speed with AI agents, MCPs (Model Context Protocols), and agentic ...

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

... associate experience and enable speed with AI agents, MCPs (Model Context Protocols), and agentic ... As our portfolio expands, we need a senior engineer who can own complex technical problems end-to ...

BI Developer

Austin, TX · Hybrid

$43.66/hr

Data Analyst Associate, Azure Data Engineer) are a plus. * Proficiency in SQL and Azure KQL, with hands-on experience using data visualization tools such as Power BI. * Familiarity with web analytics ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

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 ...

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Associate Data Engineer information

See Austin, TX salary details

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$18

$30

How much do associate data engineer jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for associate data engineer in Austin, TX is $18.57, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.76 per hour, depending on experience, location, and employer.

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 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.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

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 Austin, TX? The most popular types of Data Engineer jobs in Austin, TX are:
What job categories do people searching Associate Data Engineer jobs in Austin, TX look for? The top searched job categories for Associate Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Associate Data Engineer jobs? Cities near Austin, TX with the most Associate Data Engineer job openings:
Infographic showing various Associate Data Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 82% In-person, 12% Hybrid, and 6% Remote job distribution, with an average salary of $38,631 per year, or $18.6 per hour.
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

8.0

Company rating: 8.0 out of 10

Based on 674 frontline employees who took The Breakroom Quiz

7th 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.
Description
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 sharing
Advanced 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 waste
Snowflake 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 Cloning
Security & 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","responsibilities":"Snowflake 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 Cloning.
Advanced 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 waste.
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.
Preferred Qualifications
2+ years in database administration or Performance Tuning with specific hands-on Snowflake experience
Master's Degree, Computer Science or equivalent degree
Architecture 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 certifications
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.
Cost Optimization: Analyze credit consumption and query performance to reduce spend while maintaining SLAs
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.
Minimum Qualifications
Snowflake experience
Data Engineer or Database Administration or Performance Tuning experience
Architecture Knowledge: Deep understanding of multi-cluster shared data architecture and micro-partitioning
Bachelor's Degree, Computer Science or equivalent degree or experience

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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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