Remote Sr. Data Engineer

About The Company

GrabJobs is a leading technology consulting firm dedicated to driving innovation in cloud-native solutions, enterprise DevSecOps, and AI-driven transformation. Our focus is on building intelligent, automated, and secure systems that help organizations overcome their most complex technical challenges. We are at the cutting edge of AI, generative AI, and agentic systems, pushing the boundaries of what these technologies can achieve in real-world production environments. Our team comprises recognized experts working on groundbreaking projects that blend cloud native architecture, extensive automation, and AI/ML at the core. At GrabJobs, we foster a dynamic, inclusive, and collaborative culture rooted in continuous learning. We believe that your ideas have the power to shape impactful outcomes for our clients. If you are passionate about pioneering the future of AI and cloud technology and want to be part of a team that sets industry standards, GrabJobs is the ideal place for you.

About The Role

We are seeking a highly skilled Senior Data Engineer to join our innovative team. In this role, you will be responsible for designing and implementing end-to-end AI features, including data pipelines, generative AI, agentic workflows, and production deployment. Your expertise will help build scalable, secure data pipelines across diverse enterprise environments, ensuring optimal performance and reliability. You will develop advanced Generative AI, agentic, ML, and Business Intelligence systems utilizing modern frameworks and techniques such as RAG, embeddings, vector databases, and more. Additionally, you will implement MLOps/LLMOps practices, including CI/CD pipelines, automated model evaluation, and infrastructure as code across multiple cloud platforms like AWS, Azure, and GCP. You will own technical workstreams independently, mentor junior engineers, and advocate for best practices in software engineering, model evaluation, and system reliability. This role offers an exciting opportunity to work on transformative projects that combine cloud native architecture, automation, and AI/ML at the forefront of technology innovation.

Qualifications

The ideal candidate must hold an active Secret or Top Secret clearance. You should have over five years of professional experience in data engineering, with demonstrated success leading technical workstreams, mentoring junior team members, and promoting software engineering best practices. Expertise in Python and SQL is essential, with proficiency in working within polyglot environments such as Scala or Java as required by client systems. You should possess extensive experience in developing Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, and context construction in production workflows using frameworks like Spark, LangChain, Databricks, Dask, Airflow, Dagster, or Kedro. The ability to lead the end-to-end implementation of AI features, with sound judgment regarding model behavior, evaluation, and reliability, is crucial. Experience with data security, governance, managing PII/PHI, authentication, and role-based access control (RBAC) is also required. Deep knowledge of MLOps/LLMOps, including CI/CD pipelines, automated agent evaluation tools, and infrastructure as code (Terraform), across cloud providers is highly desirable. Strong time management skills and the ability to work autonomously on technical workstreams are essential to succeed in this role.

Responsibilities

Design and implement comprehensive AI features from data pipelines through to deployment, ensuring sound judgment on model behavior, evaluation, and reliability. Build and optimize scalable, secure data pipelines and ETL/ELT workflows using Python and SQL across diverse enterprise environments. Develop advanced Generative AI, agentic, ML, and BI systems utilizing techniques such as RAG, embeddings, and vector databases, leveraging modern frameworks like Spark, LangChain, Databricks, and Airflow. Implement MLOps and LLMOps best practices, including CI/CD for data workflows, automated agent evaluation, and infrastructure provisioning as code across multiple cloud platforms. Enforce data security and governance standards, managing sensitive information such as PII and PHI, and implementing authentication and role-based access control. Own technical workstreams independently, providing mentorship to junior engineers and promoting best practices in software engineering and AI development. Collaborate closely with cross-functional teams to align technical solutions with business objectives, ensuring high-quality, reliable, and efficient AI systems. Continuously evaluate emerging technologies and methodologies to enhance system performance, security, and scalability.

Benefits

Joining GrabJobs offers a comprehensive benefits package designed to support your professional growth and personal well-being. You will have the opportunity to work on cutting-edge projects in AI and cloud technology, gaining valuable experience in a rapidly evolving industry. We provide competitive compensation packages, including performance-based incentives, health insurance, and retirement plans. Our culture emphasizes continuous learning and development, with access to training programs, certifications, and conferences. We promote a flexible work environment that values work-life balance and encourages innovation. Additionally, GrabJobs fosters a collaborative and inclusive workplace where diverse perspectives are celebrated, and your contributions are recognized and valued.

Equal Opportunity

GrabJobs is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected characteristic. We believe that diversity enriches our workplace and drives innovation. All employment decisions are made based on qualifications, merit, and business needs. We are dedicated to creating a welcoming space where everyone can thrive and contribute to our shared success.