Data Analytics Engineer

Back to jobs Data Analytics Engineer Austin, TX Apply 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. 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. Apply for this job * indicates a required field First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Which best describes your experience building ETL/data pipelines? (Select one)* Select... How would you rate your SQL proficiency? (Select one)* Select... Have you worked with high-volume, event-based, or messy data (e.g., logs, telemetry, sensor data)? (Select all that apply) * Real-time or streaming data Log or event data Sensor or telemetry data Highly unstructured or inconsistent data I have not worked with these types of data What workforce orchestration tools have you used?* How familiar are you with applying AI/LLMs to analytics or data workflows? (Select one)* Select... LinkedIn Profile* I am available to work onsite at our Austin headquarters?* Select... I am authorized to work in the United States and do not require current or future visa sponsorship.* Select... Submit application