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

YO AI Labs

AI Consulting Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

Podium Education

Data Analytics Instructor

Austin, TX · Remote

$4.0K/wk

This is a part-time, semesterly, and remote role (~5-7 hours/week). What You'll Do * Bring Data Analytics to life by incorporating real-world examples into our existing curriculum. * Lead one 90 ...

Podium Education

Data Analytics Instructor

Austin, TX · On-site +1

$4.0K/wk

This is a part-time, semesterly, and remote role (~5-7 hours/week). What You'll Do * Bring Data Analytics to life by incorporating real-world examples into our existing curriculum. * Lead one 90 ...

Victory

Senior Network Engineer (Remote)

Austin, TX · Remote

$106K - $145K/yr

Must have experience with network protocol analyzers and troubleshooting tools in a complex ... Austin, TX (on-site/remote 40hrs/week) Note: Candidates must be authorized to work in the US. No ...

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Showing results 1-20

All JobsAnalytics Engineer JobsRemote Analytics Engineer JobsRemote Analytics Engineer Jobs in Austin, TX

Remote Analytics Engineer information

See Austin, TX salary details

$45.1K

$92.4K

$134.3K

How much do remote analytics engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote analytics engineer in Austin, TX is $92,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $117,000.00 per year, depending on experience, location, and employer.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

Can you work remotely in data analytics?

Remote analytics engineers can work from anywhere with a reliable internet connection, as many data analysis tasks involve using cloud-based tools and programming languages like Python or SQL. Employers increasingly offer remote positions, especially for roles that focus on data modeling, visualization, and reporting, often requiring strong communication skills and familiarity with collaboration platforms.

What are the most commonly searched types of Analytics Engineer jobs in Austin, TX?

The most popular types of Analytics Engineer jobs in Austin, TX are:

What are popular job titles related to Remote Analytics Engineer jobs in Austin, TX?

For Remote Analytics Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Analytics Engineer jobs in Austin, TX look for?

The top searched job categories for Remote Analytics Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Analytics Engineer jobs?

Cities near Austin, TX with the most Remote Analytics Engineer job openings:

Remote Analytics Engineer jobs near you
Infographic showing various Remote Analytics Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $92,360 per year, or $44.4 per hour.

Senior Analytics Engineer (Mandarin Speaker)

Career Renew

Austin, TX • Remote

$150K - $250K/yr

Full-time

Re-posted 7 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Analytics Engineer (Mandarin Speaker) - this is a fully remote role for US-based candidates. Salary range: 150-250K USD base plus benefits plus equity.
We are building the TikTok of interactive mini-apps — a consumer social platform where users scroll a feed of playable experiences and create their own simply by describing what they want. Our AI-powered creation flow turns natural language into shareable, interactive content. Backed by a16z, Mayfield, and Khosla, founded in 2024, and already at 1M+ MAUs.

We are looking for a Senior Analytics Engineer with 4+ years of experience to build the data modeling and analytics layer from the ground up at a fast-growing consumer social platform. This is a founding role – you'll own the transformation layer that turns raw product events, backend logs, and operational data into clean, reliable datasets powering product analytics, experimentation, growth insights, and company-wide metrics. You'll work closely with product, engineering, growth, and leadership to define how the company understands user behavior, content performance, and retention. This is ideal for someone who thrives in ambiguity, loves building practical v1s quickly, and wants outsized ownership at an early-stage company.

What you will be doing

  • Designing and maintaining core analytics data models that transform raw events and logs into clean, trusted, analysis-ready tables

  • Defining and operationalizing company-wide metrics – DAU, retention, creator supply, content engagement, funnel conversion, and growth efficiency

  • Building dashboards and self-serve data products that help teams track product performance and diagnose issues quickly

  • Partnering with product and engineering to improve event taxonomy, instrumentation quality, and data consistency across app, web, and backend

  • Establishing data quality standards, testing, documentation, and freshness checks so the team can trust the numbers

Requirements:
4 - 10 years of experience in analytics engineering or data engineering (Mandatory)
Built data models from raw events at a VC-backed startup or reputable consumer company (e.g., TikTok, Instagram, Snap) (Mandatory)
Experience at a consumer social, gaming, or creator platform (Nice-to-have)
Built analytics engineering function at early-stage startup (Nice-to-have)
Advanced SQL proficiency for designing reusable canonical data models (Mandatory)
Experience with BigQuery, Snowflake, or similar modern warehouses (Mandatory)