Staff Engineer, Data Analytics Engineering

Job Title: Data Engineer & GenAI Engineer

We are seeking a Data Engineer & GenAI Engineer with strong expertise in modern data platforms cloud-native architectures big data technologies and Generative AI solutions to design and deliver scalable data products AI-driven applications and intelligent analytics platforms that power enterprise innovation.

Key Responsibilities

Data Engineering & Platform Development:
Design develop and maintain scalable data pipelines data lakes data warehouses and AI-enabled data applications that support enterprise analytics reporting and Generative AI use cases.

Data Ingestion & Processing:
Build and optimize batch and real-time data pipelines using Python Spark Kafka Airflow and cloud-native services ensuring reliable high-performance data processing at scale.

Generative AI & AI Solution Development:
Develop and integrate Generative AI solutions using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) vector databases AI agents prompt engineering and enterprise knowledge repositories.

Cloud & Infrastructure:
Deploy and manage cloud-native data and AI solutions on AWS (S3 Redshift Glue EMR Lambda ECS EKS Bedrock SageMaker) following DevOps and MLOps best practices for CI/CD monitoring governance and scalability.

Data Integration:
Work closely with business stakeholders data scientists and application teams to integrate data pipelines enterprise datasets machine learning models and GenAI services through APIs and cloud platforms.

Security & Governance:
Implement data governance metadata management data quality frameworks authentication authorization and security controls aligned with enterprise standards and compliance requirements.

Collaboration & Delivery:
Partner with AI engineers data scientists analytics teams and product managers to translate business requirements into scalable production-ready data and AI solutions.

Continuous Improvement:
Adopt best practices in data engineering AI development coding standards testing observability performance tuning cost optimization and emerging Generative AI technologies.

Qualifications :

Qualifications

• Bachelors or Masters degree in Computer Science Data Engineering Artificial Intelligence Engineering or a related field.

• 6 years of experience in Data Engineering Big Data Analytics and/or AI application development.

• Strong proficiency in Python SQL Spark and data processing frameworks with experience building scalable data pipelines and data platforms.

• Hands-on experience with AWS Cloud services (S3 Redshift Glue EMR Lambda Bedrock SageMaker) containerization (Docker Kubernetes) and CI/CD pipelines.

• Experience with Generative AI technologies including Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Vector Databases AI Agents Prompt Engineering and AI/ML model integration.

• Familiarity with modern data architectures including Data Lakes Data Warehouses Streaming Platforms (Kafka) and cloud-native analytics ecosystems.

• Excellent problem-solving communication stakeholder management and cross-functional collaboration skills.

Additional Information :

WD thrives on the power and potential of diversity. As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at  to advise us of your accommodation your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests please report it immediately to WD Ethics Helpline or email .

Remote Work :

No

Employment Type :

Full-time