Data Engineer

Job not on LinkedIn

🕒 July 27

🇺🇸 United States – Remote

💵 $100k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 38%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI • Build ETL scripts using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems • Develop and optimize data pipelines for ingestion, transformation, and loading into enterprise data lakes and warehouses • Build and extend end-to-end data and BI solutions across extraction, storage, transformation, and visualization layers • Partner with supply chain, real estate, and AI/ML teams to provide pipelines for AI solutions, including RAG ingestion, Copilot integration, and multi-agent workflows • Ensure data governance, lineage, and compliance across supply chain datasets • Continuously optimize query performance, ETL processes, and pipeline reliability

🎯 Requirements

• Advanced proficiency in SQL (complex queries, optimization) and Python (data engineering, scripting, APIs) • Experience building ETL/ELT pipelines operating on structured and unstructured data sources • Knowledge of enterprise data warehouse and data lake architectures • Exposure to data pipelines for AI/ML (vector DB ingestion, embeddings, RAG pipelines, copilots, agents) • Familiarity with supply chain or data center operations data is a strong plus • Strong hands-on expertise with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Looker/BI (or similar, preferred) • Bonus: experience with ML Engineering, data visualization tools (Looker, Tableau, Power BI) and MLOps practices