Data Analytics Engineer

Avride

Austin (TX)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Job summary

Avride is seeking a Data Analytics Engineer to transform raw vehicle and telemetry data into clean, reliable datasets for engineers and executives. You will build end-to-end data pipelines and craft dashboards that illuminate performance and insights across teams.

You will own data quality, optimize queries, and collaborate across product, operations, and AI teams while exploring LLM-driven data analysis opportunities. Austin-based role with no remote option.

Qualifications

  • Strong Python experience with data libraries (e.g. Pandas, Polars).
  • Expert SQL skills with complex joins, window functions and optimization.
  • Experience building and maintaining ETL pipelines into a data warehouse.
  • Hands-on with BI dashboards using Grafana/Tableau/Looker.
  • Familiarity with workflow orchestrators like Airflow, Dagster or Prefect.
  • Understanding of LLMs and applying them to data problems.

Responsibilities

  • Tame raw data streams and build ETL pipelines from vehicle APIs and databases into the data warehouse.
  • Write efficient SQL to shape data for analysis and dashboards.
  • Create and manage Grafana dashboards to monitor performance and issues.
  • Collaborate with other teams to determine data needs and deliver datasets.
  • Experiment with internal AI/LLM tools to derive insights and automate analysis.

Skills

Python
SQL
ETL pipelines
BI tools
Workflow tools
LLMs awareness
Data ownership

Tools

Grafana
Tableau
Looker
Airflow
Dagster
Prefect

Job description

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.

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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Comprehensive healthcare
Employer retirement match
Generous parental leave
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