Senior Data Engineer

Accountabilities

• Design, build, and maintain scalable data pipelines from source systems through data warehouses and analytics platforms.


• Develop and optimize data ingestion workflows using cloud-native technologies, orchestration tools, and Python-based data loaders.


• Create and maintain reliable data models that enable accurate reporting, business intelligence, and self-service analytics.


• Deliver actionable analyses that explain business performance and support strategic decision-making.


• Build data infrastructure with scalability, reliability, performance, and cost optimization as core design principles.


• Manage infrastructure as code to ensure consistent, automated deployment and maintenance of the data platform.


• Partner closely with product, finance, growth, and engineering teams to translate business questions into trusted data solutions.


• Leverage AI-powered development tools to improve engineering productivity while maintaining full ownership of production quality.


• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.


• Stay current with emerging technologies and best practices in data engineering, cloud infrastructure, and artificial intelligence.

Requirements

• 5+ years of experience designing, building, and operating production-grade data pipelines and modern data platforms.


• Strong expertise with cloud data technologies such as Google Cloud Platform, BigQuery, dbt, Airflow, Dataflow, or equivalent solutions.


• Experience with infrastructure as code using tools such as Pulumi or Terraform.


• Advanced SQL skills and proficiency in Python for data engineering and automation.


• Experience working with analytics platforms and transforming complex datasets into business insights.


• Familiarity with AI-assisted development tools and an understanding of how to apply them responsibly within engineering workflows.


• Strong analytical thinking with the ability to identify root causes behind business metrics and performance changes.


• Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams.


• Comfortable working independently in a fast-paced, remote-first environment with a high level of ownership.


• Passion for scalable data engineering, continuous learning, and building reliable systems that support business growth.

Benefits

• Fully remote position with the flexibility to work from anywhere.


• Co-working space membership or allowance to support your preferred work environment.


• Equity participation through an employee stock ownership program (ESOP).


• Technology allowance to build your ideal home office setup.


• Comprehensive health insurance, including full employee coverage and substantial dependent coverage.


• Flexible, asynchronous work schedule that promotes autonomy and work-life balance.


• Annual professional development budget for courses, conferences, books, and learning resources.


• Annual company off-site events that bring together global team members for collaboration and networking.


• Opportunity to work with modern cloud technologies, large-scale data systems, and cutting-edge AI tools.


• Collaborative, international environment focused on innovation, ownership, and continuous growth.

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