Hiring: Data Engineer Company: The Phoenix Group Location: Houston, TX Job Posted Time: 2026-09-10 11:28:27 Employment Type: Hybrid Target Skills & Keywords : Accessibility, Agile, Apache, Azure, Bash, CI/CD, Data Pipeline, Data Warehouse, ELT, ETL, Fivetran, LLM, Phoenix, Postman, Python, Redshift, SQL, Snowflake, dbt About the job Experience: •5+ years of experience in data engineering, data platform administration, or enterprise BI, with at least 2 years managing cloud data warehouses such as Snowflake, Redshift, or similar at scale. •At least 2 years managing cloud data warehouses such as Snowflake, Redshift, or similar at scale. Required Skills: •Act as the primary administrator for the enterprise cloud data warehouse environment, managing user access, roles, security policies, and platform configurations across multi-cloud or hybrid environments. •Monitor, tune, and optimize data platform performance, security, and cost management, ensuring SLAs are met and platform reliability is maintained. •Design, develop, and support scalable data pipelines using a variety of ingestion techniques such as CDC, ETL/ELT processes, API integration, and batch/file-based loads, ensuring data quality and timeliness. •Build and maintain curated data sets, semantic data views, and business data models that serve reporting, visualization, and AI-based applications. •Partner cross-functionally with data source owners and analytics teams to onboard new data sources, define ingestion standards, and document data lineage for governance and troubleshooting. •Actively facilitate and support deployment, testing, and monitoring of AI-enabled applications, including Large Language Models (LLMs) and AI agents (e.g., ChatGPT, Copilot, Cortex), ensuring seamless integration with data workflows. •Partner with architecture teams on semantic layers, knowledge graphs, and ontology efforts to support reliable AI query layers and data accessibility. •Document platform architecture, best practices, and operational procedures; provide training and support to technical and non-technical users. Qualifications: •Bachelor’s Degree in Computer Science, Information Systems, or related technical field; Master’s Degree preferred. •Applied hands-on capability in multi-account or multi-tenant cloud data architectures, managing access controls, security, and platform stability. •Proficient in SQL programming and scripting languages for data transformation and automation. •Strong experience with data ingestion tools and ETL/ELT frameworks including Fivetran, HVR, Matillion, dbt, Apache Coalesce, and Postman. •Operational familiarity with AI and LLM tools such as ChatGPT, Claude, Microsoft Copilot, and Snowflake Cortex, with understanding of agent-based architecture and integrations. •Certified in Snowflake (SnowPro Core or Advanced) or comparable platform certifications. •Knowledge of agile development practices, DevOps principles, and CI/CD workflows. •Excellent written and verbal communication skills with the ability to collaborate across technical and business teams. •Understanding of agent-based data architectures, MCP servers, and agent-to-agent communication protocols. •Solid functional working knowledge of cloud security standards and best practices for data privacy. Compensation: •$100,000 - $115,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!