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Freelance Data Analytics Engineer Jobs in Texas (NOW HIRING)

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 ...

They are seeking an Analytics Engineer to join their Global Data Analytics team, where the role involves delivering scalable analytics solutions by translating business needs and collaborating with ...

Data Analytics Manager

Plano, TX · On-site

$70 - $80/hr

Description: seeking for highly motivated and tech-savvy entry-level Data analytics engineer to join our analytics team. If you''''re passionate about turning data into insights and enabling smarter ...

New

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 ...

We are looking for an Analytics Engineer to join our Global Data Analytics team and help deliver modern, business-critical analytics solutions at scale. You will work at the intersection of business ...

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Showing results 1-20

Freelance Data Analytics Engineer information

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

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

What are the most commonly searched types of Data Analytics Engineer jobs in Texas? The most popular types of Data Analytics Engineer jobs in Texas are:
What are popular job titles related to Freelance Data Analytics Engineer jobs in Texas? For Freelance Data Analytics Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analytics Engineer jobs in Texas look for? The top searched job categories for Freelance Data Analytics Engineer jobs in Texas are:
What cities in Texas are hiring for Freelance Data Analytics Engineer jobs? Cities in Texas with the most Freelance Data Analytics Engineer job openings:
Infographic showing various Freelance Data Analytics Engineer job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Data & Analytics Engineer, AiDP

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 29 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 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