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# Data Engineer

- **Company:** aKube Inc
- **Location:** Culver City, CA, United States
- **Experience:** Expert
- **Salary:** $128,960.0
- **Contract:** Temporary contract
- **Skills:** Adaptable Database Systems, Agile Methodology, Airflow, Data Analysis, Big Data, BigQuery, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Database Testing, Python (Programming Language), Cloud Services, Data Streaming, Cloud Platform System, Sql Optimization, Snowflake, Build Management, Video Streaming, Software Version Control, Data Pipelines
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/cf22ef6f-efa7-49d0-8bd3-f59bb48e2f99

## About the Role

* 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.

Nice to Have:

 * 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.

## Description

* Python
 * Snowflake or BigQuery or Redshift
 * dbt
 * Airflow
 * Cloud data platforms
 * Data modeling
 * CI/CD and version control, * 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.


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