Manager, Data Engineering

Manager, Data Engineering

United States

Brainlabs is the media agency built to answer one question: what's actually driving profit? Founded in 2012 by Daniel Gilbert, we were built by engineers before we were a media agency. Today, 1,000+ Brainlabbers across five continents use our proprietary agents, built on 32 media tools and over 2,500 logged experiments, to help brands connect every channel they plan and buy to one thing: the bottom line.

Role type: Full-time

Team: Data

Reporting to: Director, Data

Estimated Start: June 2026

Location: New York City, New York | Dallas, Texas | Boca Raton, Florida | San Francisco, California | Los Angeles, California Compensation: We are open to hiring candidates in our various office locations across the United States. We also receive applications from, and hire, candidates with varying levels of experience for example those who have a few years experience in a role to those who are looking to make a step up. The salary ranges on our job postings are set so as to account for these variable factors with decisions on the salary to be offered only made once we know the experience and location of our new hire. Work Authorization: Must be legally entitled to work in the United States

What's the role

We are looking for a motivated and detail-oriented Data Engineer with 2 to 5 years of experience in designing, building, and managing scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have a strong background in data engineering, cloud-based architectures, and proficiency in implementing data pipelines to transform raw data into actionable insights. Experience building or supporting AI and GenAI data workflows, including pipelines for LLM applications and AI/ML model training, is a strong plus.

So, tell me about the company

Brainlabs is culture-first. You've probably heard other companies describe themselves as people, clients, or profit first – but we see people, clients and profit as the building blocks of our ecosystem. Culture powers all three and we know that when the ecosystem is balanced, we all win! That's why the culture we cultivate is a culture of winning together.

To learn more about what it's like to be a Brainlabber, check out our culture code.

What you do

• Data Pipeline Development:
• Design, develop, and maintain ETL/ELT pipelines using GCP tools like CloudFunctions, CloudRun, Dataflow, Dataproc, or Cloud Data Fusion.
• Ensure data pipelines are scalable, efficient, and optimized for performance.
• AI & GenAI Process Development:
• Build and manage data pipelines that support LLM and GenAI applications, including Retrieval-Augmented Generation (RAG) architectures, vector data stores, and prompt context assembly workflows.
• Curate and prepare datasets for AI/ML model training, covering feature engineering, labeling pipeline oversight, and data versioning using tools like Vertex AI Feature Store or DVC.
• Data Integration and Storage:
• Integrate data from various sources into GCP services such as BigQuery, Cloud Storage, and Cloud SQL.
• Design and implement data warehouse/mart solutions using BigQuery for analytics and reporting.
• Data Transformation & Optimization:
• Build transformation logic using SQL, Python, or Spark for preparing clean and structured data.
• Optimize query performance and storage cost in BigQuery or other GCP storage systems.
• Data Quality & Monitoring:
• Develop processes to ensure data quality, integrity, and consistency across the pipeline.
• Implement monitoring and logging systems using tools like Stackdriver or Looker.
• Requirement Understanding:
• Understand and interpret business and technical requirements to support data development tasks.
• Assist in building, testing, and maintaining data pipelines while ensuring alignment with project objectives and stakeholder needs
• Collaboration & Communication:
• Work closely with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand requirements.
• Provide technical guidance on GCP best practices and tools.
• Documentation & Maintenance:
• Maintain clear documentation of processes, workflows, and data architecture.
• Ensure regular maintenance and version control of pipelines and scripts.

Who you are

Mandatory Skills:

• • Hands-on experience with GCP services like CloudFunctions, CloudRun, Schedular, BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
  • Strong programming skills in Python, SQL.
  • Knowledge of data modeling, schema design, and query optimization techniques.
  • Experience in building batch and streaming data pipelines.
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced and dynamic environment.

Preferred Skills:

• • Familiarity with orchestration tools like Apache Airflow, Cloud Composer, or similar.
  • Working experience on other cloud stack for ETL(AWS or Azure) is a plus
  • Experience with GCP's AI/ML platform (Vertex AI, BigQuery ML, or AutoML) for building, evaluating, or serving models is a strong advantage.
  • Hands-on experience building or supporting LLM/GenAI pipelines using frameworks such as LangChain, LlamaIndex, or Vertex AI Agent Builder.
  • Familiarity with AI/ML data preparation practices, including feature engineering, dataset curation, and data versioning for model training workflows.
  • Knowledge of CI/CD practices and tools like Git, Jenkins, or Terraform for pipeline deployments
  • Understanding of data security, governance, and compliance practices on GCP.

Education & Certifications:

• Bachelor's degree in Computer Science, Engineering
• GCP Data Engineer or Associate Cloud Engineer certification (preferred but not mandatory)

How you succeed

• You successfully deliver complex projects on time and within scope, with clear stakeholder alignment throughout
• Your strategic recommendations and measurement frameworks directly influence client business decisions and outcomes
• Clients view you as a trusted advisor who deeply understands their business and data landscape
• You actively develop the skills and careers of team members under your mentorship
• You drive innovation through reusable frameworks, templates, and process improvements that benefit the broader team
• You maintain high client satisfaction

What happens next?

We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.

Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities.

Thank you for your interest in Brainlabs! We look forward to getting to know you!