Principal Data Engineer
ATPCO
Amazon RedshiftApacheAWSCloudJavaKafkaPythonScalaSQL
AI Data Engineer
Spiral Scout
contract
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudETLGoogle Cloud PlatformPythonSQL
About the role
- Build and maintain data pipelines (Python, SQL, ETL, APIs) to prepare structured and unstructured data for AI workflows.
- Translate client problems into orchestrated AI workflows, balancing automation and human-in-the-loop design.
- Configure multi-agent logic (planner/worker, feedback loops) using LangChain, Wippy, n8n, Zapier, Make, or custom Python code.
- Prototype and ship proof-of-concepts: onboarding bots, quoting assistants, presales flows, project management helpers.
- Facilitate scoping workshops with stakeholders to clarify requirements and design workflows.
- Collaborate with engineers and product leads to create reusable AI workflow templates and automation patterns.
Requirements
- Strong data engineering experience: Python + SQL, pipelines, ETL, API integrations.
- Experience working with data ahead of AI: cleaning, structuring, connecting multiple sources.
- Hands-on with AI tools: ChatGPT, Claude, LangChain, n8n, Zapier, Make, Autogen, or similar.
- Understanding of LLM orchestration beyond prompt engineering.
- Systems thinking: ability to design workflows with multiple agents, branching logic, loops, and state.
- Strong communication skills: able to explain AI/data concepts and lead workshops with technical and non-technical stakeholders.
- Experience with agent-based frameworks (LangGraph, CrewAI, AutoGen).
- Designed human-in-the-loop workflows (customer support, onboarding, quoting, project management).
- Prototyping with low-code/no-code platforms (Zapier, Airtable, Streamlit, custom GPTs).
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Exposure to ML practices (fine-tuning, RAG, evaluation, multimodal inputs).
Benefits
- Start with a paid pilot project to evaluate collaboration.
- Work at the cutting edge of AI workflows and data-driven automation.
- Fully remote, flexible schedule.
- Fast-moving, innovation-driven culture where ideas quickly turn into practice.
- Pathway to extended part-time or full-time engagement.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLETLAPIsdata pipelinesAI workflowsdata cleaningdata structuringagent-based frameworksML practices
Soft skills
communication skillssystems thinkingworkshop facilitationcollaborationproblem-solving
