Senior Data Engineer

Job Description

About the Role Aura is hiring a Senior Data Engineer with 5+ years of hands-on experience building and scaling data infrastructure. This is a high-impact role that involves end-to-end ownership of data pipelines, close collaboration with cross-functional teams, and contributions to the foundation of Aura's analytics and ML workflows.

Role Responsibilities

Design, build, and maintain reliable and scalable data pipelines from raw ingestion to downstream analytics layers (including dashboards and ML features).

Lead the development of new data infrastructure projects from scratch and own delivery through production.

Collaborate with data scientists, ML engineers, and product teams to ensure high data quality and stakeholder alignment.

Establish and maintain robust monitoring and observability across the data stack.

Optimize performance and cost across data workflows (e.g., query tuning, storage optimization).

Requirements

5+ years of professional experience in data engineering or a related field.

Advanced SQL skills and deep experience with modern data warehouses, especially Snowflake.

Proficient in orchestration tools such as Dagster or Airflow.

Experience with dbt for data modeling and transformation.

Strong Python programming skills.

Experience working in cloud environments, particularly AWS (e.g., S3, Lambda, ECS).

Familiarity with version control, CI/CD workflows, and Infrastructure-as-Code.

Preferred Experience

Prior experience working in a fast-paced startup environment.

Experience owning and delivering greenfield projects independently.

Deep expertise in Snowflake, including performance tuning and cost optimization.

Knowledge of cost optimization strategies for cloud-based data infrastructure.

Background in analytics or ML data preparation.

Comfortable with ambiguity and able to make decisions in lightly structured environments.

Full-time