Data Engineer

Civic Marketplace

. Build and own a trusted canonical procurement dataset for analytics and agentic procurement .

Posted 10/5/2026full-timeRemote • United Kingdom, United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, focusing on building and optimizing ingestion pipelines, entity resolution, and data quality management. Proficient in SQL and Python, with a strong understanding of supplier and procurement data in the public sector.

Highest-signal resume keywords

Data Engineering ExperienceStrong SQLPython ProgrammingEntity ResolutionExperience with OpenSearch

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality ManagementData ModelingIngestion Pipeline DesignRecord LinkageData Analysis

Soft Skills

Commercial JudgementCuriosityPositive AttitudeAutonomy

Tools & Technologies

OpenSearchElasticsearchPineconeAPIsFlat Files

Industry Keywords

GovtechPublic SectorCivic TechPublic RecordsOpen Data

Tech Stack

Tools & technologies

ElasticSearchPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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