Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 United Kingdom, United States – Remote

🇬🇧 United Kingdom – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

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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Civic Marketplace

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

🏛️ Government

Consulting • Logistics • Government

Civic Marketplace is on a mission to unlock local agency procurement through innovation, by building a marketplace that saves time and taxpayer dollars. Their platform provides government procurement offices with the ability to make purchases with ease, simplicity, and full legal compliance. By using cutting-edge technology, Civic Marketplace enhances public service delivery with transparency and efficiency, ensuring access to a network of reliable, pre-approved vendors. They focus on supporting diverse suppliers to foster local economic development, addressing the challenges faced by procurement officers in outdated systems and inefficient processes.

📋 Description

• Build and own a trusted canonical procurement dataset for analytics and agentic procurement • Diagnose and fix data quality issues across supplier, agency, solicitation, contract, and awarded-quote data • Design and implement reliable, observable, cost-effective ingestion pipelines from APIs, flat files, scraped pages, PDFs, and other external sources • Resolve supplier entities across legal entities, spellings, trading names, subsidiaries, registries, and identifiers • Define shared canonical models for suppliers, contracts, commodities, and agencies • Build testing, lineage, freshness, provenance, and self-serve data capabilities • Design ingestion and storage strategies for agentic workflows and optimize vector pipelines such as Pinecone for RAG • Collaborate with the Head of Engineering to shape architecture • Write pipelines, carry the pager, and investigate raw sources when data appears incorrect • Collaborate with product engineering, customer success, and the Growth Lead • Serve as the first dedicated data engineering hire and function lead alongside the Head of Engineering

🎯 Requirements

• Data engineering experience in a startup or scale-up, where you've built the platform rather than inherited one • Strong SQL and Python, and the judgement to know when the warehouse is the wrong place to solve a problem • A data model you designed that other people had to live with, including the parts you would do differently now • Real experience of messy external sources: half-documented APIs, flat-file drops, scraped pages, PDFs, and data you neither control nor can correct • Entity resolution or record linkage experience, or clear evidence you'd be good at it • Commercial judgement to distinguish revenue-blocking data problems from merely interesting ones • Instinct to diagnose why a number is wrong before proposing a fix • Instinct to build systems that scale rather than pipelines that run once • Genuine AI fluency • Determination to stay positive through the ups and downs of a fast-moving startup • Comfort operating remotely across timezones with real autonomy and not much oversight • Curiosity about public-sector data • Govtech, public sector, civic tech, public records, or open-data experience is advantageous • Familiarity with supplier and procurement data, including SAM.gov, UEI, DUNS, NAICS, UNSPSC, cooperative purchasing, COG, or NIGP is advantageous • Experience with OpenSearch, Elasticsearch, or vector pipelines such as Pinecone or Milvus feeding an LLM product is advantageous • Bilingual English and Spanish is especially valuable • Experience being the first data hire is advantageous

🏖️ Benefits

• Competitive salary and early-stage equity • Comprehensive medical, dental, and vision insurance • Flexible PTO • Remote-first, with real flexibility across timezones • Full AI tool stack: Claude Pro, HubSpot, Make, Notion, and more • Regular team offsites, including international meet-ups • Direct access to the founding team and a front-row seat to building something that matters