Senior Data Engineer

Job not on LinkedIn

🔥 16 hours ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

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

Upload Resume

Weekday

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

👗 Fashion

🛒 Retail

🛍️ eCommerce

Fashion • Retail • eCommerce

Weekday is your everyday paradox wrapped in denim—unapologetic, unpredictable, and always evolving. Discover our full range of men’s and women’s fashion, from statement Weekday jeans and perfectly imperfect suiting to comfort-first underwear and bold pop culture-inspired graphic prints. Build your wardrobe with Astro jeans and chunky scuba pieces, ideal for creating relaxed yet modern outfits. Explore essential mini and maxi skirts, oversized shirts, short sleeve tops, and lightweight jackets—all available in muted tones and bold seasonal hues. Whether you're styling half-tucked tees or layered looks, Weekday offers statement pieces and versatile basics to fit your mood, your moment, and your everyday, embracing the many true expressions of youth.

📋 Description

• Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services. • Build and optimize robust ETL/ELT processes for structured, semi-structured, and unstructured data across enterprise environments. • Collaborate with business stakeholders to understand data requirements and translate them into scalable technical solutions. • Develop and maintain reliable data integration workflows that ensure data accuracy, consistency, and availability. • Optimize data processing pipelines for performance, scalability, cost efficiency, and operational reliability. • Leverage AI-assisted development tools and modern engineering practices to accelerate solution delivery and improve code quality. • Monitor, troubleshoot, and resolve production data pipeline issues while proactively identifying opportunities for automation and optimization. • Work closely with architects, analysts, developers, and cross-functional teams throughout the project lifecycle to deliver high-quality data solutions. • Implement best practices for data engineering, governance, documentation, testing, and operational support. • Take ownership of project deliverables by ensuring quality, meeting timelines, communicating risks proactively, and continuously improving engineering processes.

🎯 Requirements

• 5+ years of hands-on experience as a Data Engineer with expertise in enterprise-scale data engineering solutions. • Strong experience with Microsoft Azure Fabric, Databricks, and Azure data services in production environments. • Solid understanding of SQL, data modeling, data warehousing concepts, and cloud-based data platforms. • Proven experience designing and implementing scalable ETL/ELT pipelines and enterprise data integration solutions. • Proficiency in Python, Apache Spark, or similar technologies for large-scale data processing. • Experience optimizing cloud-based data workflows for performance, scalability, reliability, and cost efficiency. • Strong analytical and problem-solving skills with the ability to troubleshoot complex production issues effectively. • Comfortable using AI-assisted development tools and automation techniques to improve engineering productivity and solution quality. • Excellent communication and stakeholder management skills, with the ability to collaborate effectively across global, cross-functional teams. • A proactive, ownership-driven mindset with the flexibility to adapt to evolving priorities while consistently delivering high-quality, business-critical data solutions.