{"id":590480,"url":"https://alion.io/job/macpaw-data-engineer-ai-integrations","title":"Data Engineer (AI Integrations)","company":{"id":40199,"name":"MacPaw","domain":"macpaw.com","url":"https://alion.io/company/macpaw","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kyiv, Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":50000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Haystack","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"n8n","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-08T09:50:47Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-03T08:20:30Z","board_verified":false,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"Jira ticket\nIf 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.\nIn this role, you will:\nBuild and maintain Airflow DAGs to integrate new data sources into BigQuery and GCS.\n\nIntegrate new MarTech and SaaS tools via external APIs and automate end-to-end data flows.\n\nBuild analytical models, data marts, staging layers, testing, and documentation using dbt.\n\nDevelop backend services, API layers, and internal tooling on top of data integrations using FastAPI and Django.\n\nIntegrate LLM frameworks (LangChain, LangGraph, Haystack, LlamaIndex) and automation tools like n8n into internal systems.\n\nDesign, build, and support ETL/ELT pipelines and operational workflows across PostgreSQL and BigQuery.\n\nParticipate in architecture design for new systems, data infrastructure, and automation services.\n\nSkills you’ll need to bring:\nAt least 3 years of Data Engineering experience, backed by professional Python skills for building production-ready code and backend services.\n\nStrong SQL knowledge with hands-on experience in BigQuery and PostgreSQL.\n\nPractical experience with dbt (data modeling, testing, and documentation).\n\nHands-on experience with Apache Airflow for writing and maintaining DAGs.\n\nSolid understanding of data modeling principles (OLAP/OLTP, data marts, Kimball / Inmon methodologies).\n\nProven experience integrating external APIs and third-party SaaS services.\n\nPractical experience with LLM frameworks (LangChain, LangGraph, Haystack, or LlamaIndex).\n\nExperience with containerization and CI/CD tools (Docker, Git, CI/CD pipelines).\n\nAt least an Intermediate level of English and fluent Ukrainian.\n\nAs a plus:\nFamiliarity with the MarTech ecosystem and marketing data workflows.\n\nBasic experience or familiarity with Kubernetes.\n\nExperience with React or Vue for internal UI 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