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Open nowFirst seen 47 days ago

Data Engineer (AI Integrations)

MacPaw21 open roles

Where
Remote job, Remote
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Your applicationOpen nowData Engineer (AI Integrations)MacPaw · Remote job, Remote

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 47 days ago

The posting

Jira ticket

If you like building real systems at the intersection of data, backend engineering, and AI, this role is for you. We’re looking for a Data Engineer specialist to take ownership of our MarTech data infrastructure — from automating data flows and writing backend services to integrating LLMs and designing APIs across our entire data ecosystem.

In this role, you will:

  • Build and maintain Airflow DAGs to integrate new data sources into BigQuery and GCS.
  • Integrate new MarTech and SaaS tools via external APIs and automate end-to-end data flows.
  • Build analytical models, data marts, staging layers, testing, and documentation using dbt.
  • Develop backend services, API layers, and internal tooling on top of data integrations using FastAPI and Django.
  • Integrate LLM frameworks (LangChain, LangGraph, Haystack, LlamaIndex) and automation tools like n8n into internal systems.
  • Design, build, and support ETL/ELT pipelines and operational workflows across PostgreSQL and BigQuery.
  • Participate in architecture design for new systems, data infrastructure, and automation services.

Skills you’ll need to bring:

  • At least 3 years of Data Engineering experience, backed by professional Python skills for building production-ready code and backend services.
  • Strong SQL knowledge with hands-on experience in BigQuery and PostgreSQL.
  • Practical experience with dbt (data modeling, testing, and documentation).
  • Hands-on experience with Apache Airflow for writing and maintaining DAGs.
  • Solid understanding of data modeling principles (OLAP/OLTP, data marts, Kimball / Inmon methodologies).
  • Proven experience integrating external APIs and third-party SaaS services.
  • Practical experience with LLM frameworks (LangChain, LangGraph, Haystack, or LlamaIndex).
  • Experience with containerization and CI/CD tools (Docker, Git, CI/CD pipelines).
  • At least an Intermediate level of English and fluent Ukrainian.

As a plus:

  • Familiarity with the MarTech ecosystem and marketing data workflows.
  • Basic experience or familiarity with Kubernetes.
  • Experience with React or Vue for internal UI development.
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