Posted Apr 10, 2026

Senior Data Engineer AI

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Important Information Experience: +6 years Job Mode: Full-time Work Mode: Remote ID: 20555   Job Summary We are seeking a highly skilled Senior Data Engineer with deep experience in modern data platforms and hands-on expertise in building Agentic AI–first data solutions. The ideal candidate has strong proficiency with Strands, AgentCore, and robust experience across Snowflake, OpenFlow, Kafka, and dbt. You will play a key role in designing and scaling data architectures that power advanced AI agents and next-generation analytics. This role requires someone who thrives in innovative environments, enjoys building from scratch, and can influence technical strategy across AI, data engineering, and cloud ecosystems. Responsibilities and Duties - Design, develop, and maintain Agentic AI–first data pipelines using Strands and AgentCore to enable intelligent automation and decision-making at scale. - Architect, optimize, and manage Snowflake data warehouses, ensuring high performance, secure data sharing, and cost-efficient usage. - Build, refine, and orchestrate streaming and event-driven pipelines using Kafka and OpenFlow. - Develop modular, testable transformations using dbt, implementing best practices in data modeling (e.g., Kimball, Data Vault). - Implement scalable and reliable data integration solutions supporting real-time and batch processing. - Collaborate with AI/ML teams to provide high-quality, well-documented datasets for model training and agent workflows. - Drive data quality, governance, lineage, and observability using modern tooling and AI-enabled monitoring. - Lead code reviews, architecture discussions, and mentor junior data engineers. - Partner closely with Product, AI Engineering, and Platform teams to define data and agent strategies. Qualifications and Skills - 6+ years of experience as a Data Engineer, Senior Data Engineer, or similar role. - Hands-on experience with Agentic AI frameworks, specifically: - Strands - AgentCore - Strong expertise with: - Snowflake (advanced) — performance tuning, Snowpark, RBAC, cost optimization - OpenFlow for orchestration and processing - Kafka for event streaming, producers/consumers, schema registry - dbt for modular SQL development, testing, and documentation - Strong SQL skills and proficiency in Python. - Solid understanding of modern data architectures (ELT/ETL, real-time streaming, microservices-based pipelines). - Experience with CI/CD for data pipelines, version control, and deployment automation. - Familiarity with cloud platforms (AWS, GCP, or Azure).   Preferred Qualifications - Experience building AI-driven data systems, agentic workflows, or LLM-integrated pipelines. - Background in data governance, lineage, observability, and quality frameworks. - Knowledge of Snowflake advanced features such as Dynamic Tables, Streams & Tasks. - Experience with containerized and distributed systems (Docker, Kubernetes). - Strong communication skills and ability to collaborate in cross-functional teams.   About Encora  Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.