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Senior Data Analytics Engineer Jobs in Austin, TX

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 ...

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 ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable architectures, and analytics-ready datasets that accelerate engineers, analysts, and data scientists. You ...

Sr Data Analyst

Austin, TX · Hybrid

$85K - $107K/yr

Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

Senior Analytics Engineer

Austin, TX · On-site

$103K - $142K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader ... Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job Title : Sr. Data Engineer IV Process : 2 rounds virtual, final interview onsite Location: 3800 ... This role is ideal for a detail‑oriented, analytical professional with deep SQL expertise and ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group ... analytics, reporting, and AI-related workloads effectively. • Optimizing data performance ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI ... This role is critical to enabling modern analytics, advanced reporting, and data-driven decision ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI ... This role is critical to enabling modern analytics, advanced reporting, and data-driven decision ...

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 ...

They are seeking a Senior Data Scientist to analyze complex data sets and collaborate with the ML ... Analyst / Data Scientist. • Bachelor's or Master's Degree in a Quantitative Field (Engineering ...

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Austin, TX We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. This role requires strong hands-on experience ...

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

Conduct root cause analysis on production incidents and implement permanent fixes * Mentor junior ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

We provide authenticated, privacy-enhanced data and analytics, innovative fit-for-purpose health ... As a Senior Data Engineer, you'll lead the design of scalable data solutions, mentor talented ...

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Senior Data Analytics Engineer information

See Austin, TX salary details

$80.3K

$125.2K

$173.5K

How much do senior data analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior data analytics engineer in Austin, TX is $125,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $142,700.00 per year, depending on experience, location, and employer.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Austin, TX? The most popular types of Data Analytics Engineer jobs in Austin, TX are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Austin, TX? For Senior Data Analytics Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Austin, TX look for? The top searched job categories for Senior Data Analytics Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Senior Data Analytics Engineer jobs? Cities near Austin, TX with the most Senior Data Analytics Engineer job openings:
Infographic showing various Senior Data Analytics Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $125,218 per year, or $60.2 per hour.

Data & Analytics Engineer, AiDP

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 9 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

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


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