Senior Data Engineer- 1587

Culver City, CA, US • Posted 3 days ago • Updated 4 hours ago
Full Time
On-site
USD 62.00 per hour
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Employment Authorization
  • Snow Flake Schema
  • Amazon Redshift
  • Data Modeling
  • Continuous Integration
  • Continuous Delivery
  • Version Control
  • Data Architecture
  • Workflow
  • Orchestration
  • Data Science
  • Visualization
  • Data Governance
  • Roadmaps
  • Data Engineering
  • Cloud Computing
  • SQL
  • Python
  • Agile
  • Streaming
  • Digital Media
  • Advertising
  • Video
  • Analytics
  • Business Intelligence
  • Data Quality

Summary

Job Description
City: Culver City, CA

Onsite/ Hybrid/ Remote: Hybrid (4 days a week Onsite)

Duration: 12 Months

Rate Range: Upto $62/hr on W2

Work Authorization: All valid EADs except H1B, OPT, CPT

Must Have:

  • SQL
  • Python
  • Snowflake or BigQuery or Redshift
  • dbt
  • Airflow
  • Cloud data platforms
  • Data modeling
  • CI/CD and version control

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.

Qualifications:

  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1d3dc7
  • Position Id: 9c66c45559c84fb7ecb095489006e16c
  • Posted 3 days ago
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