Professional Data Engineer

We are looking for a Data Engineer to build reliable, scalable data pipelines and contribute to the core data ecosystem that powers analytics, AI/ML, and emerging Generative AI use cases.

Requirements

• Build and maintain batch and streaming data pipelines with strong emphasis on reliability, performance, and efficient cost usage.
• Develop SQL, Python, and Spark/PySpark transformations to support analytics, reporting, and ML workloads.
• Contribute to data model design and ensure datasets adhere to high standards of quality, structure, and governance.
• Support integrations with internal and external systems, ensuring accuracy and resilience of data flows.
• Build and maintain data flows that support GenAI workloads (e.g., embedding generation, vector pipelines, data preparation for LLM training and inference).
• Collaborate with ML/GenAI teams to enable high-quality training and inference datasets.
• Contribute to the development of retrieval pipelines, enrichment workflows, or AI-powered data quality checks.
• Work with Data Science, Analytics, Product, and Engineering teams to translate data requirements into reliable solutions.
• Participate in design reviews and provide input toward scalable and maintainable engineering practices.
• Uphold strong data quality, testing, and documentation standards.
• Support deployments, troubleshooting, and operational stability of the pipelines you own.

Benefits

• Competitive salary
• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Relocation Assistance
• Tuition Reimbursement
• Visa Sponsorship