[ref. o0083316] Woodland Hills - Data Engineer

apartmentRobert Half placeWoodland Hills calendar_month 

Data Engineer

$150K - $175K + benefits

Hybrid onsite 3x per week in Woodland Hills, CA

We are seeking a Data Engineer to join our team located in Woodland Hills, California. The Data Engineer will play a key role in developing and maintaining scalable data pipelines, supporting our dynamic pricing models, and ensuring data accuracy and reliability.

This position offers an exciting opportunity to work in a fast-paced and dynamic environment, with a focus on data models and data architecture.

Responsibilities:

  • Engage with stakeholders to comprehend data requirements and translate these into technical specifications.
  • Collaborate with data scientists to prepare data for model training, validation, and deployment.
  • Develop and maintain scalable data pipelines to support dynamic pricing models.
  • Implement and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and reliability.
  • Monitor and troubleshoot data workflows to ensure continuous and reliable data integration.
  • Work closely with the software development team to integrate data engineering solutions into the broader product architecture.
  • Ensure data governance and compliance with relevant data privacy and security regulations.
  • Document data engineering processes and contribute to best practices.
  • Proficiency in Python for scripting and data manipulation.
  • Proficiency in Azure Databricks for streamlined data analytics.
  • Proficiency in Apache Spark to enhance data processing and analytics.
  • Knowledge of Cloud Technologies for efficient data storage and retrieval.
  • Strong understanding of Database systems for structured data handling.
  • Experience with EO/IR systems for data collection and analysis.
  • Competence in Algorithm Implementation to solve complex data problems.
  • Expertise in Analytics for deriving valuable insights from data.
  • Familiarity with Apache Hadoop for big data processing.
  • Experience in API Development for seamless data integration and communication.
  • Understanding of Machine Learning to build data models and predictive systems.
  • Expertise in Power BI for data visualization and reporting.
  • Familiarity with Apache Kafka for real-time data processing and streaming.

FOR IMMEDIATE AND CONFIDENTIAL CONSIDERATION PLEASE REACH OUT TO CATHERINE HAMILTON AT ROBERT HALF

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