Senior Data Engineer

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: GC, USC, 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.