Data Analytics Engineer

Avride • Austin, TX

1d • Onsite

About The Position

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.

Requirements

• 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 Haves

• 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.

Responsibilities

• Tame our raw data streams, building the ETL pipelines that pull information from all corners of the company into our data warehouse.
• Work with some truly unique datasets—everything from vehicle sensor telemetry and logistics data to the results of our internal system tests.
• Write the smart, efficient SQL queries needed to shape our data and prepare it for analysis.
• Create and manage the Grafana dashboards that our teams rely on to track performance and spot issues.
• Work closely with other teams to figure out what data they need, and then you'll deliver it.
• Experiment with our internal AI and LLM-based tools to find new ways to analyze data and automate insights.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees