Data Engineer – Merchant Intelligence

Job not on LinkedIn

🔥 21 minutes ago

🇺🇸 United States – Remote

💵 $80k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 50 days.

Apply Now

Customize resume + cover letter

Find Similar Remote Jobs

☆ Save☑️ Mark as applied❌ Hide

Report problem

Constructor

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

🛍️ eCommerce

💰 $25M Series B - Constructor on 2024-06

SaaS • Artificial Intelligence • eCommerce

Constructor is an AI-native, API-first platform that provides product search and discovery solutions optimized for e-commerce. The company offers a commerce reasoning engine and a suite of features — search, autosuggest, personalized recommendations, AI shopping agents, attribute enrichment, retail media, and cross-channel discovery — to help retailers and enterprises deliver personalized discovery experiences across onsite and offsite touchpoints. Constructor positions itself as a specialist in product discovery for both B2C and B2B retail, integrating with existing tech stacks and emphasizing transparent, explainable AI for merchandising and conversion optimization.

📋 Description

• Build and own the batch pipelines and cubes behind dashboard analytics and agent insights • Model shopper, trend and benchmark data so the agent can find opportunities across the shopping journey • Shape data for each role, including a merchandiser's category, a product manager's funnel step and an executive's total • Own data quality and trust, including freshness, monitoring, alerting and metric definitions • Work with engineers, analysts and product to identify missing agent data and turn merchant questions into data products • Ship data into the product through simple analytics UIs and agent skills, tools and prompts

🎯 Requirements

• Proficiency in Python and SQL (any dialect) • Experience building and maintaining batch data pipelines with Spark (PySpark) • Familiarity with Databricks, ClickHouse and dbt • Experience with data modeling for analytics, including aggregated tables and cubes that feed dashboards and APIs • Experience with data quality and pipeline monitoring, including freshness checks, alerting and incident response • Ability to prototype fast and pick the metrics that matter in e-commerce • Ability to translate business questions into technical requirements, and back • Clear communication with engineers and non-technical stakeholders • Experience building frontend UIs, or willingness to work across the full stack to ship data into product features • Experience with pandas and NumPy • Experience building AI agents, including tools, skills, prompts, context and evaluations • Experience with real-time analytics, including ClickHouse and Cube.js • Experience with AWS • Familiarity with statistics for experimentation, including A/B tests • Eligibility to work as an independent contractor in the current country of residence

🏖️ Benefits

• Unlimited vacation, with a recommended minimum of 3 weeks per year • Fully remote team: choose where you live • Work-from-home stipend to set up your home office • Apple laptop for new employees • Annual training and development budget for every employee • Maternity and paternity leave for qualified employees • Smart colleagues who help you grow and make a meaningful impact • Stock options, in addition to the base salary • Regular team offsites to connect and collaborate

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume