3 months ago
Base Salary
$116k - $174k/yr
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT processes.
- Develop and manage data infrastructure using AWS cloud services and Terraform.
- Collaborate with data scientists, analysts, autonomy engineering teams, and product teams to deliver data solutions.
- Optimize data processing systems for performance, reliability, and cost-efficiency.
- Implement monitoring, alerting, and logging for data pipelines and infrastructure.
- Support data governance, data quality, security, and operational stability.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- At least 1 year of recent professional software engineering experience focused on data-related projects.
- Proficiency in at least one data engineering programming language such as Python, Go, or C++.
- Experience with big data processing frameworks such as Apache Spark, Flink, or Kinesis Data Stream.
- Hands-on experience with AWS, GCP, or Azure and data services such as S3, Redshift, BigQuery, or Glue.
- Strong SQL knowledge and experience with relational and NoSQL databases.
- Knowledge of data analytics infrastructure, DBT, and visualization frameworks and tools.
- Experience building and managing data pipelines with an orchestrator such as Apache Airflow.
- Ability to develop scalable, pragmatic data solutions and communicate technical concepts to technical and non-technical stakeholders.
- Desirable experience includes Snowflake, data lake architectures, modern data stack tools and practices, and Amazon Web Services tools.
Benefits
- Annual bonus, equity compensation, and benefits are provided.
- Hybrid work environment with at least 3 days per week in the office.
Tech Stack
Amazon RedshiftApache AirflowApache FlinkApache SparkAWSAzureC++dbtGoGoogle BigQueryGoogle Cloud PlatformPythonSnowflakeSQLTerraform
Categories
Data Engineering
About Aurora
Aurora builds the Aurora Driver, a self-driving system for heavy-duty trucks, and offers it as a driver-as-a-service to freight carriers. The company partners with truck OEMs and logistics networks, including Volvo Trucks, PACCAR, FedEx, Uber Freight, Werner, Schneider, and Ryder, to commercialize autonomous freight hauling. Founded in 2017 and headquartered in Pittsburgh, Aurora is a public company trading on Nasdaq under the symbol AUR.