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Remote, mid-level generalist role with broad skills and metro location increases candidate competition.
Core skills (Python, SQL, cloud data platforms) transfer across industries, but AI-focus raises domain specificity.
Explicit 3+ years requirement plus mandatory techs (Azure Synapse, BigQuery, Python, SQL) makes filtering strict.
Design, develop, and optimize data pipelines (ETL/ELT) to prepare and structure datasets for AI and machine learning models including LLMs.
Manage data workflows and support AI model deployment primarily within Google Cloud and Azure Synapse environments.
Provide technical support and troubleshoot issues in AI systems, APIs, and data pipelines, while maintaining detailed technical documentation.
Minimum 3+ years of professional experience, including 1 to 3 years in similar roles.
Proficient in Python (with data libraries such as Pandas and NumPy) and advanced SQL skills.
Experience working with Google Cloud AI technologies (Gemini, BigQuery, Vertex AI) and Azure Synapse.
Bachelor's degree or equivalent combination of education and experience.
Experienced in collaborating across IT, Data Engineering, and Data Science teams to align AI system requirements and deliverables.
Strong background in building and maintaining complex data pipelines supporting AI and ML workflows in cloud environments.
Familiarity with generative AI, agentic AI development, AI orchestration platforms (Flowise AI, Zapier, n8n), and troubleshooting data-intensive systems.