Data Engineering Lead

Job not on LinkedIn

🔥 0 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $120k - $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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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Grupo Oxford

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🍽️ Food & Beverage

💼 Consulting

📦 Logistics

Food & Beverage • Consulting • Logistics

Grupo Oxford is a Brazilian online retailer operating an e-commerce store that sells consumer products and highlights bestsellers and new releases. The company promotes sales and incentives such as 10% off for Pix payments, 10% cashback on purchases, free shipping on orders over R$299 (except for North and Northeast regions), and a purchase guarantee offering replacement for breakage or defects. Its website emphasizes promotions, payment discounts, and customer assurance policies targeting direct consumers.

📋 Description

• Lead, mentor, and develop a team of two to four data engineers • Set clear priorities, plan projects, conduct code reviews, coach team members, and support career development • Own platform strategy across Azure and Microsoft Fabric • Identify overlapping pipelines, storage, and tooling and create a roadmap to consolidate or retire redundant components • Build and mature the Microsoft Fabric platform, including Lakehouse, Warehouse, Data Factory pipelines, and OneLake • Define what should remain in Azure and what should move into Fabric • Develop complex T-SQL queries, stored procedures, and database solutions • Manage, monitor, and optimize SQL Server database environments • Design, optimize, test, and maintain stored procedures supporting core ETL processes • Manage transformation pipelines end to end, including orchestration, scheduling, monitoring, failure handling, troubleshooting, and recovery • Lead impact analysis and change management for major upstream source-system changes • Coordinate with platform owners and downstream stakeholders • Establish and reinforce standards for data quality, testing, observability, documentation, security, and CI/CD • Partner with analysts, BI developers, technical teams, and business stakeholders to translate requirements into reliable, scalable data products • Manage platform reliability, performance, cloud cost, access, lineage, compliance, and PII handling • Evaluate emerging tools and approaches and make build-versus-buy recommendations • Communicate priorities, risks, tradeoffs, and progress to technical and nontechnical leaders • Report to the Director of Data Operations

🎯 Requirements

• Five or more years of data engineering experience • At least two years leading engineers formally or as a technical lead • Strong, hands-on experience using Microsoft Fabric in a production environment • Working knowledge of Azure Data Factory, Synapse, ADLS Gen2, and Azure SQL • Advanced T-SQL skills, including writing, tuning, testing, and maintaining stored procedure-based ETL at scale • Experience orchestrating and monitoring transformation pipelines • Ability to diagnose and resolve production failures • Proficiency in Python • Working knowledge of Spark or PySpark • Foundation in dimensional and lakehouse or medallion data modeling • Knowledge of modern ETL and ELT design patterns • Experience with CI/CD and infrastructure as code • Experience using tools such as Azure DevOps or GitHub Actions • Experience using Terraform or Bicep • Clear communication, sound judgment, and ability to influence stakeholders while balancing hands-on delivery with team leadership • Microsoft Certified Fabric Analytics Engineer Associate DP-600 or Fabric Data Engineer Associate DP-700 certification preferred • Experience managing data from Salesforce, ATS or VMS platforms, and ERP or finance systems preferred • Experience leading a data-platform migration or consolidation preferred • Familiarity with applying AI to the data estate preferred • Successful completion of a background check

🏖️ Benefits

• Health, dental, and vision coverage • Flexible Spending Account (FSA) • 401(k) • Health Reimbursement Account (HRA) • Health Savings Account (HSA) • Life insurance • Disability insurance • Paid parental leave • Holiday pay • Vacation and sick time • Observed company holidays • Up to 3 floating holidays • Community and social events • Learning and development • $100 per month student loan payment contribution • Tuition reimbursement opportunity • Access to Employee Assistance Program • Other health & wellness perks • Annual performance-based bonus opportunity of 10% of base salary • Flexible spending accounts • Health savings accounts • Employee tuition reimbursement • Student debt assistance • Reasonable accommodation for individuals with physical and mental disabilities