Senior Data Engineer, LLM

🕒 Agosto 21

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $6.100 - $7.000 / mês

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 14%

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Blue Orange Digital

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2015

💼 Consultoria

🏥 Saúde

📦 Logística

💰 $700.000 Corporate round em 2022-05

Consulting • Healthcare • Logistics

Blue Orange Digital é uma empresa de consultoria em dados e IA que ajuda empresas a transformar dados complexos em resultados reais de negócios. Ela faz parcerias com organizações de diversos setores para projetar e implementar infraestrutura de dados escalável, analisando de forma avançada, e soluções potentes impulsionadas por IA, e opera como uma equipe totalmente remota e distribuída globalmente, focada em construir sistemas práticos e prontos para produção.

Descrição

• Build production agents and multi-step agentic workflows • Design and implement MCP servers and tool interfaces connecting agents to the data platform • Make architectural decisions about agents versus deterministic pipelines, agent decomposition, and human-in-the-loop checkpoints • Establish agent evaluation practices, datasets, LLM-as-judge workflows, regression testing, metrics, tracing, and observability • Own agentic workloads in Airflow 3.x on Astronomer • Design long-running or interactive agent workloads on AWS ECS/Fargate and event-driven or API-triggered services • Model and implement semantic definitions over Snowflake and dbt estates • Build and maintain Snowflake Semantic Views and Cortex Analyst semantic models • Capture lineage, freshness, descriptions, classification and sensitivity tags, and usage signals • Evaluate catalog and metadata tooling and provide build-versus-buy recommendations • Design extraction pipelines for PDFs, presentations, spreadsheets, emails, and web content • Build schema-constrained extraction with confidence scoring, source citations, and low-confidence handling • Implement chunking, embedding, and retrieval strategies for RAG and agentic retrieval • Design human review loops and feed corrections into evaluation datasets • Define and implement scalable data architecture, including tiered/medallion structures, ELT, governance, quality, security, and access controls • Build and maintain Python ingestion pipelines across REST APIs, SaaS connectors, file drops, and incremental Snowflake loads • Contribute to dbt models, tests, and documentation • Implement idempotency, retry semantics, token and budget caps, circuit breakers, structured logging, and audit trails • Follow Git-based workflows with code review, CI/CD, and environment promotion • Mentor peers and serve as a technical leader and client-facing resource • Present architectural decisions, document designs, work independently on ambiguous problems, and communicate project status

🎯 Requisitos

• 7+ years of hands-on industry experience in data engineering or software engineering • At least 5 years on major cloud platforms • Bachelor's degree or higher in Computer Science, Engineering, or a related technical field (or equivalent experience) • Demonstrated experience shipping LLM-powered or agentic systems to production • Practical command of tool and function calling, structured outputs, retrieval/RAG, planning loops, multi-agent decomposition, and human-in-the-loop • Experience with agent evaluation and observability, including eval datasets, LLM-as-judge, regression testing, tracing, and cost/latency monitoring • Experience with Anthropic Claude API or comparable frontier model APIs • Experience with an agent framework such as Claude Agent SDK and/or OpenAI Agents SDK / Assistants API • Experience connecting models to enterprise data through MCP and/or comparable tool-integration patterns • Daily working fluency with Claude and ChatGPT as development tools • Mastery of Python, including typing, testing, packaging, and async • Advanced proficiency in SQL with strong analytical and dimensional data modeling skills • Deep, hands-on Apache Airflow experience • Hands-on proficiency with Snowflake, dbt, AWS, Docker, and infrastructure-as-code • Experience designing and building robust CI/CD pipelines • Production experience extracting structured data from documents at scale, including at least one layout-heavy domain • Experience with modern document parsing tooling • Experience with embeddings, chunking strategies, and vector or hybrid retrieval • Self-driven and autonomous, with excellent problem-solving and critical thinking • Excellent verbal and written professional English • Full availability during US Eastern Time business hours (09:00–17:00 ET) • Background checks may be required for certain positions/projects

🏖️ Benefícios

• Fully remote • Flexible Schedule • Unlimited Paid Time Off (PTO) • Paid parental/bereavement leave • Worldwide recognized clients to build skills for an excellent resume • Top-notch team to learn and grow with