✅ Job Title: Data Engineering Lead 📍 Location: Houston or Dallas, TX • Houston: 5 days a week onsite • Dallas: Hybrid (during contract), onsite post-conversion 💼 Employment Type: Contract-to-Hire (3–6 months) 🚫 Sponsorship: Not available – USC/GC only 📅 Start Date: ASAP 🧾 Job Description: We are looking for a Data Engineering Lead to manage and mentor a team of 3–4 engineers focused on delivering scalable and impactful data products. You’ll partner closely with Product Managers to align technical delivery with business outcomes while owning technical architecture and delivery standards across the data pipeline stack. 🎯 Responsibilities: 👥 Team Leadership & Delivery: • Lead a pod of 3–4 data engineers • Manage planning, execution, code quality, and delivery timelines • Mentor engineers and oversee code reviews 📦 Product Collaboration: • Collaborate with Product Managers to define goals and requirements • Champion data-driven decision-making within the team 🛠️ Technical Execution: • Build and optimize ETL pipelines using Azure cloud stack • Work with PySpark, Python, SQL, and Databricks • Develop dashboards and reports in Power BI 📊 Data Product Ownership: • Ensure data quality, discoverability, and reuse • Deliver insights through compelling visualizations 🚀 Innovation & Strategy: • Stay current on cloud/data trends • Contribute to architecture and long-term data platform strategy ✅ Required Qualifications: • 5+ years of Data Engineering experience • 1–2+ years of leading or mentoring technical teams • Strong expertise in Python, PySpark, SQL • Hands-on with Azure Data Services (Data Factory, Synapse, etc.) • Experience with Databricks for scalable data processing • Power BI experience for dashboard/reporting • Excellent communication and collaboration with cross-functional teams ⭐ Nice to Have: • Experience in a product-driven environment • Knowledge of MLOps or hybrid data science pipelines • Background in analytics or statistical modeling • CI/CD, Infrastructure as Code, Docker containerization