Data Analytics Engineer
Austin, Texas
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- Salary not listed in the saved posting
- Work setup
Working pattern needs review — work setup source
#LI-MS1 Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available. Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
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Visa sponsorship not confirmed — sponsorship source
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
Read the full posting
What you’ll work on
Full postingWe’re looking for a Data Analytics Engineer who is skilled in both data engineering and data analysis.
You'll work with some truly unique datasets—everything from vehicle sensor telemetry and logistics data to the results of our internal system tests.
You'll write the smart, efficient SQL queries needed to shape our data and prepare it for analysis.
You'll create and manage the Grafana dashboards that our teams rely on to track performance and spot issues.
From the employer’s posting
We’re looking for a Data Analytics Engineer who is skilled in both data engineering and data analysis. Your main goal will be to take the messy, raw data coming from our vehicles, APIs, and databases, and transform it into clean, reliable datasets that everyone from our engineers to our CEO can actually use. You'll be responsible for building the data pipelines that make this happen, and the dashboards that bring the insights to life.
You'll tame our raw data streams, building the ETL pipelines that pull information from all corners of the company into our data warehouse. You'll work with some truly unique datasets—everything from vehicle sensor telemetry and logistics data to the results of our internal system tests. You'll write the smart, efficient SQL queries needed to shape our data and prepare it for analysis.
You'll work with some truly unique datasets—everything from vehicle sensor telemetry and logistics data to the results of our internal system tests. You'll write the smart, efficient SQL queries needed to shape our data and prepare it for analysis. You'll create and manage the Grafana dashboards that our teams rely on to track performance and spot issues.
You'll write the smart, efficient SQL queries needed to shape our data and prepare it for analysis. You'll create and manage the Grafana dashboards that our teams rely on to track performance and spot issues. You'll work closely with other teams to figure out what data they need, and then you'll deliver it.
What you’ll bring
All qualificationsCore experience
- Hands-on experience with a BI tool like Grafana, Tableau, or Looker.
- You have experience with vehicle, sensor, or logistics data.
- Familiarity with workflow orchestrators like Airflow, Dagster, or Prefect.
Qualification wording
Hands-on experience with a BI tool like Grafana, Tableau, or Looker.
You have experience with vehicle, sensor, or logistics data.
Familiarity with workflow orchestrators like Airflow, Dagster, or Prefect.
Tools in this posting
- Python
- SQL
- BigQuery
- ClickHouse
- Grafana
- Snowflake
- Tableau
- Airflow
- Dagster
- pandas
- Polars
- Redshift
- Looker
- Prefect
Source — Tool mentions in context
What You'll Need - Strong, practical experience with Python and its data libraries (like Pandas, Polars, etc.). - Expert-level SQL. You should be very comfortable with complex joins, window functions, and query optimization.
- You'll work with some truly unique datasets—everything from vehicle sensor telemetry and logistics data to the results of our internal system tests. - You'll write the smart, efficient SQL queries needed to shape our data and prepare it for analysis. - You'll create and manage the Grafana dashboards that our teams rely on to track performance and spot issues.
- Strong, practical experience with Python and its data libraries (like Pandas, Polars, etc.). - Expert-level SQL. You should be very comfortable with complex joins, window functions, and query optimization. - A solid background in building and maintaining ETL pipelines using modern tools.
Nice to Have - You've worked with ClickHouse or other modern analytical databases (Snowflake, BigQuery, Redshift). - You have experience with vehicle, sensor, or logistics data.
- You'll write the smart, efficient SQL queries needed to shape our data and prepare it for analysis. - You'll create and manage the Grafana dashboards that our teams rely on to track performance and spot issues. - You'll work closely with other teams to figure out what data they need, and then you'll deliver it.
- A solid background in building and maintaining ETL pipelines using modern tools. - Hands-on experience with a BI tool like Grafana, Tableau, or Looker. - Familiarity with workflow orchestrators like Airflow, Dagster, or Prefect.
- Hands-on experience with a BI tool like Grafana, Tableau, or Looker. - Familiarity with workflow orchestrators like Airflow, Dagster, or Prefect. - A good high-level understanding of how Large Language Models (LLMs) work and an interest in applying them to data problems.
Job description
About the Team
Here at Avride, we're building the future with self-driving vehicles and delivery robots. As you can imagine, this creates a massive amount of data, and we need someone to help us connect the dots. This is a great opportunity to join a growing team and have a real, tangible impact on our technology and our success.
About the Role
We’re looking for a Data Analytics Engineer who is skilled in both data engineering and data analysis. Your main goal will be to take the messy, raw data coming from our vehicles, APIs, and databases, and transform it into clean, reliable datasets that everyone from our engineers to our CEO can actually use. You'll be responsible for building the data pipelines that make this happen, and the dashboards that bring the insights to life.
What You'll Do
- You'll tame our raw data streams, building the ETL pipelines that pull information from all corners of the company into our data warehouse.
- You'll work with some truly unique datasets—everything from vehicle sensor telemetry and logistics data to the results of our internal system tests.
- You'll write the smart, efficient SQL queries needed to shape our data and prepare it for analysis.
- You'll create and manage the Grafana dashboards that our teams rely on to track performance and spot issues.
- You'll work closely with other teams to figure out what data they need, and then you'll deliver it.
- You'll also get to experiment with our internal AI and LLM-based tools to find new ways to analyze data and automate insights.
What You'll Need
- Strong, practical experience with Python and its data libraries (like Pandas, Polars, etc.).
- Expert-level SQL. You should be very comfortable with complex joins, window functions, and query optimization.
- A solid background in building and maintaining ETL pipelines using modern tools.
- Hands-on experience with a BI tool like Grafana, Tableau, or Looker.
- Familiarity with workflow orchestrators like Airflow, Dagster, or Prefect.
- A good high-level understanding of how Large Language Models (LLMs) work and an interest in applying them to data problems.
- A strong sense of ownership and a passion for making sure the data is right.
Nice to Have
- You've worked with ClickHouse or other modern analytical databases (Snowflake, BigQuery, Redshift).
- You have experience with vehicle, sensor, or logistics data.
- You've worked in the autonomous vehicle or robotics industry before.
#LI-MS1
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
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Source & posting history
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Austin, Texas
#LI-MS1 Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available. Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
- Work authorization
#LI-MS1 Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available. Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
- Status in our records
- Unknown — awaiting fresh evidence
- First seen by us
- Sep 15, 2026
- Recorded sightings
- 26
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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