Senior Data Engineer (AI Marketing Intelligence) - Los Angeles

Join Our Team as Senior Data Engineer (AI Marketing Intelligence) - Los Angeles

At Hyperion360, we believe in empowering our engineers to shape the future of technology from the comfort of their own homes. We are a premier software outsourcing company, partnering with some of the world’s most successful businesses to build and manage dedicated, remote teams of top-tier software engineers and other technical talent.

We are looking for a talented Senior Data Engineer (AI Marketing Intelligence) - Los Angeles to join our global team.

About This Role

Data Engineer for AI Audience Intelligence platform building scalable data pipelines on Google Cloud Platform.

Job Description

Join Our Team as a Senior Data Engineer (AI/Marketing)

At Hyperion360, we believe in empowering our engineers to shape the future of technology from the comfort of their own homes. We are a premier software outsourcing company, partnering with some of the world’s most successful businesses to build and manage dedicated, remote teams of top-tier software engineers.

Our client is redefining marketing with the first AI Audience Intelligence platform that pinpoints high-value audiences based on business context. While sports and event marketers often have data, they lack clarity on what to do with it. This platform delivers actionable insights—what offers to send, to whom, when, and with what message.

By combining generative AI with over 100 proprietary modules, it translates complex goals into efficient, data-driven campaigns. Marketing workflows that once took months now take weeks. Trusted by leading organizations—including major sports teams—they’re already impacting industries like sports, entertainment, and soon fashion and travel.

Backed by a top Silicon Valley B2B accelerator, they’re ranked in the top 25% for investor interest and are wrapping up a strong pre-seed round. It’s an exciting moment as they prepare for rapid expansion.

They’re a tight-knit team of builders and problem-solvers who saw a gap in marketing intelligence and filled it. You’ll be working at the cutting edge of AI-powered engagement.

Core Values

  • Humility – Always learning.
  • Adaptability – Staying ahead in a fast-moving space.
  • Transparency – Tackling challenges openly as a team.
  • Proactivity – Thinking ahead, pushing boundaries.
  • Authenticity – Be yourself and enjoy the ride.

About the Role

As a Data Engineer, you will play a pivotal role in building the foundation of the AI-driven audience intelligence platform. Your work will enable the machine learning engineers and statisticians to develop high-impact AI models by ensuring clean, structured, and accessible data.

This is a hands-on role where you’ll design and optimize data pipelines, develop robust ETL processes, and ensure data quality across the infrastructure. You’ll work with large-scale datasets, real-time data processing, and cloud-based data architectures to support AI-driven marketing intelligence in industries like sports, entertainment, fashion, and travel.

What You’ll Do

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes using Google Cloud Platform (GCP) services.
  • Develop robust data storage solutions with BigQuery, Cloud Storage, and Cloud SQL for AI model training and analytics.
  • Ensure data integrity, validation, and governance using Data Catalog, Dataform, and Cloud DLP.
  • Optimize data transformation workflows with dbt, Apache Beam, and Google Dataflow for real-time and batch processing.
  • Implement data orchestration and workflow automation with Cloud Composer (Apache Airflow).
  • Collaborate with ML engineers and statisticians to prepare structured datasets for AI model development.
  • Develop and maintain monitoring and observability for data pipelines using Google Cloud Logging and Monitoring.
  • Ensure compliance with data security and governance using IAM roles, VPC Service Controls, and encryption best practices.
  • Optimize data processing and query performance to handle large-scale structured and unstructured datasets efficiently.

Your Background and Skills Will Include

  • Proficiency in Python and SQL for data processing and pipeline automation
  • Strong experience with Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Cloud SQL, Dataflow (Apache Beam), Cloud Composer (Apache Airflow), Data Catalog, and Dataform
  • Experience in ETL/ELT development, data transformation, and pipeline automation
  • Understanding of data modeling, schema design, and query optimization for AI and analytics applications
  • Knowledge of distributed data processing frameworks such as Apache Spark or Flink (on GCP)
  • Experience in API integrations to extract data from Google Ads, Google Analytics, and CRM tools
  • Understanding of data security, governance, and compliance in cloud environments
  • Experience in AI/ML data preparation workflows and working with ML teams
  • Familiarity with event-driven architectures using Pub/Sub and Cloud Functions
  • Knowledge of real-time data streaming and analytics with BigQuery Streaming API
  • Experience with Looker or Data Studio for data visualization and insights
  • Ability to thrive in a fast-paced startup environment, balancing innovation with execution

Join us and play a pivotal role in shaping the future of AI-powered marketing intelligence. Apply today and take your career to new heights with Hyperion360.

Why Choose Hyperion360?

  • Remote-First Culture: Work from anywhere with flexible hours
  • Top-Tier Clients: Partner with Fortune 500 companies and top startups
  • Professional Growth: Continuous learning and development opportunities
  • Competitive Compensation: Market-leading salaries and benefits
  • Global Team: Collaborate with talented professionals worldwide

Ready to take your career to the next level? Apply today and become part of Hyperion360’s elite team!