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

Apple

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

Apple

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

Burlebo

Data and Analytics Engineer

Austin, TX · On-site

$113K - $136K/yr

Lead Data & Analytics Engineer Overview We're looking for an experienced, proactive data professional to build and lead our data and analytics function from the ground up. We have a growing data ...

BURLEBO

Data and Analytics Engineer

Austin, TX · On-site

They are seeking an experienced Data and Analytics Engineer to build and lead their data and analytics function, responsible for structuring data, defining company metrics, and driving business ...

DoorDash

Analytics Engineer, Data Science

Austin, TX · On-site

About the Team The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making ...

Arbor

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

GigSafe

Analytics Engineer

Austin, TX · On-site

They are seeking an Analytics Engineer to own the data stack, build data pipelines, and deliver insights that drive decisions across the business. Responsibilities : • Build and maintain data ...

Civitech

Analytics Engineer

Austin, TX · On-site +1

$85K - $95K/yr

The Analytics Engineer will turn raw voter, district shape, and product data into clean, well-modeled, trustworthy datasets that power dashboards, pipelines, and the tools our partners rely on every ...

McLane Company

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 ...

eBay, Inc.

Speech & Text Analytics Engineer

Austin, TX · On-site

$98K - $173K/yr

Design and build API-based tools and data pipelines to migrate data between environments, integrate with the DevOps and SRE team to supervise the tools in the production, Work with security team to ...

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Showing results 1-20

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Austin, TX

Data Analytics Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do data analytics engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data analytics engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
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Data Analytics Engineer jobs near you
Data & Analytics Engineer, AiDP

Data & Analytics Engineer, AiDP

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 18 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

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 work, and there's no telling what you could accomplish.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
The Developer Experience Platform team is building the next generation of AI-powered tools that accelerate how applications are developed across Apple. We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform.
In this role, you will develop robust data pipelines and analytics systems that enable AI agents, autonomous workflows, and data-driven insights-directly impacting how software is built at scale.
Minimum Qualifications
3+ years of hands-on experience in data engineering, analytics engineering, or a related role in a production environment
Proficiency in Python and SQL, including pipeline development, automation, and performance optimization
Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery, or Databricks)
Experience implementing monitoring, logging, and observability for data pipelines
Experience with data modeling
B.S. in Computer Science or similar or equivalent industry experience
Preferred Qualifications
Experience building AI/LLM-powered data pipelines, including RAG systems and integrations with APIs such as OpenAI or Anthropic
Experience with real-time/streaming data systems such as Apache Kafka, Flink, or Spark Structured Streaming
Experience with workflow orchestration tools such as Airflow, Prefect, or Dagster
Knowledge of MLOps workflows, including feature engineering, model deployment, and monitoring (e.g., MLflow, Vertex AI)
Experience with data quality, governance, and lineage tools (e.g., Great Expectations, Monte Carlo)
Experience building and maintaining ELT pipelines using DBT
Experience building dashboards and analytics using tools like Tableau, Looker, or Power BI
Working knowledge of cloud platforms (AWS, GCP, or Azure) and associated data services (e.g., S3, Glue, Dataflow)

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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