Senior Data Engineer I

Job description

HungerStation is hiring a Senior Data Engineer I to design, build, and scale our data platform and processing frameworks that power analytics, AI-driven applications, and business intelligence across the organization. This role sits at the core of our data ecosystem focusing on scalability, reliability, and performance of data systems .

You Will Be Working On Design, implement, and extend scalable data platforms and architectures

• Build and maintain high-performance data pipelines and data models using BigQuery
• Optimize datasets and workloads for performance and cost efficiency
• Develop analytics-ready data models, semantic layers, and governed metrics
• Build backend services and APIs using Python or Java to support data applications
• Contribute to AI-enabled data use cases (e.g., automated insights, conversational analytics)
• Improve system reliability by addressing technical debt and scaling challenges
• Implement best practices across CI/CD, testing, monitoring, and deployment automation
• Manage and optimize cloud infrastructure supporting the data platform
• Collaborate with cross-functional teams to ensure data quality and engineering standards
• Ensure compliance with data governance, privacy, and security standards
• Improve monitoring frameworks and operational resilience of the data platform
• Support initiatives to enhance data quality, reliability, and system stability

Qualifications

5–8 years of experience in Data Engineering or similar roles

• Bachelor’s degree in Computer Science, Engineering, or related field
• Master’s or relevant certifications are a plus
• Strong experience building scalable distributed data systems Hands-on with GCP (BigQuery preferred)
• Proven experience with ETL/ELT pipelines and data modeling Experience with modern data stack ( Airflow, dbt, Looker ) Strong SQL skills and understanding of relational data systems Experience with Python or Java for backend/data services
• Familiarity with Infrastructure-as-Code (Terraform preferred) Experience with CI/CD, testing, and monitoring practices Exposure to AI-driven data applications or LLM integrations is a plus