Data Engineer

Job not on LinkedIn

🕒 2 days ago

🌐 United States, Egypt, +3 more countries – Remote

🇺🇸 United States – Remote 🇪🇬 Egypt – Remote 🇯🇴 Jordan – Remote 🇱🇧 Lebanon – Remote 🇴🇲 Oman – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 25%

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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Apricot

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Apricot is a non-profit sourcing firm dedicated to assisting displaced and underserved talent from the MENA region in finding jobs in the technology sector. Comprising product and tech leaders from Fortune 50 companies, Apricot aims to foster a vibrant community of high-caliber talent through initiatives in talent acquisition, digital recruitment, and social impact recruitment. With a hands-on approach, they utilize proven methods to create opportunities for refugee and displaced individuals, contributing to their empowerment and the broader tech industry.

📋 Description

• Design and maintain scalable data models, including 3NF, dimensional, and Data Vault models, across data warehouses and data lakes • Build, optimize, and monitor batch and real-time ETL/ELT pipelines and automation workflows • Partner with BI and analytics stakeholders to tune complex SQL queries and enable fast, reliable reporting • Apply data governance, lineage, and Master Data Management (Customer 360) practices to improve data quality and integrity • Identify and address data integration gaps across external and internal sources • Communicate progress, priorities, and trade-offs to engineering and business stakeholders • Work day to day with the client's data and engineering teams • Report to the Data/Engineering Lead • Deliver work according to the agreed scope and deliverables • Maintain a secure working environment and follow required security controls

🎯 Requirements

• 3–4 years of professional Data Engineering experience • Demonstrated ability to design and optimize complex data models and pipelines • Experience with cloud data warehouses such as BigQuery or Snowflake and the AWS ecosystem, or closely related equivalent • Strong written and verbal communication in English (B1+) • Ability to work independently and collaboratively across distributed, cross-functional teams • Strong proficiency in SQL, including complex query optimization, and Python • Own laptop and basic equipment • Reliable connectivity and a secure working environment • Ability to follow required security controls, including two-factor authentication • Exposure to HRTech, fintech, or insurance domains is helpful but not essential • Experience in startup or scale-up environments is helpful but not essential • Familiarity with BI and data visualization tools such as Looker or Superset is helpful but not essential

🏖️ Benefits

• Direct contracting, invoicing/payroll, payments, and administrative support managed by Apricot • Planned check-ins at month 1 and month 3 • Any client-provided specialized equipment, leave, stipend, wellbeing benefit, or other support may be provided only as an approved exception • Social-impact employment opportunity through a nonprofit sourcing firm