Senior Data Engineer - 1587

aKube • Culver City, CA

4h • Hybrid

About The Position

Design and build scalable data pipelines for streaming video analytics. Develop analytics -ready datasets to support data science, BI, and strategy teams. Translate business requirements into robust data architecture and engineering solutions. Assess source data quality and implement controls to ensure accuracy and reliability. Build and maintain transformation workflows using dbt and orchestration using Airflow. Partner with Product, Data Science, and Visualization teams to harmonize data from multiple systems. Implement data governance standards across accuracy, integrity, and security. Support roadmap initiatives for AVOD, FAST, and streaming data products.

Requirements

• 7+ years of experience in data engineering or analytics engineering in production environments.
• Strong experience building and optimizing cloud -based data platforms.
• Advanced SQL and Python expertise.
• Experience designing scalable data models for large datasets.
• Experience working in agile environments supporting cross -functional stakeholders.
• Background supporting streaming, digital media, or advertising analytics environments preferred.
• SQL
• Python
• Snowflake or BigQuery or Redshift
• dbt
• Airflow
• Cloud data platforms
• Data modeling
• CI/CD and version control

Nice To Haves

• AVOD, FAST, or SVOD domain experience.
• Experience with video analytics or ad tech data.
• Experience supporting self -service BI tools.
• Experience with automated data testing frameworks.

Responsibilities

• Design and build scalable data pipelines for streaming video analytics.
• Develop analytics -ready datasets to support data science, BI, and strategy teams.
• Translate business requirements into robust data architecture and engineering solutions.
• Assess source data quality and implement controls to ensure accuracy and reliability.
• Build and maintain transformation workflows using dbt and orchestration using Airflow.
• Partner with Product, Data Science, and Visualization teams to harmonize data from multiple systems.
• Implement data governance standards across accuracy, integrity, and security.
• Support roadmap initiatives for AVOD, FAST, and streaming data products.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed