Smart IT Frame LLC

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 8-11 years of experience, located in Charlotte, NC (Hybrid). Key skills include Scala, PySpark, Hive, and MongoDB, with a strong preference for financial services domain experience. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
-
🧠 - Skills detailed
#Scrum #Data Pipeline #SQL (Structured Query Language) #Apache Spark #Data Engineering #PySpark #DevOps #Scala #Agile #API (Application Programming Interface) #GitHub #Python #Compliance #Java #Spark (Apache Spark) #MongoDB #Cloud #Automation
Role description
🚀 Hiring: Data Engineer (Scala / PySpark / Hive) 📍 Location: Charlotte, NC (Hybrid) 💼 Experience: 8–11 Years About Smart IT Frame: At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together. Role Summary: We're looking for an experienced Data Engineer with strong expertise in Scala, PySpark, Hive, SQL, and MongoDB to build and enhance enterprise-scale data solutions within the financial services domain. 🔥 Must-Have Skills: ✅ Scala & Apache Spark (PySpark) ✅ Hive & Advanced SQL ✅ MongoDB ✅ Strong Java/Python fundamentals ✅ Enterprise application development experience ✅ API development & system integrations ✅ Agile/Scrum methodology experience ✅ Financial Services / Banking domain experience (Highly Preferred) ⭐ Preferred Skills: ✔ Trade Surveillance platform development ✔ Regulatory-driven application development ✔ Capital Markets, Banking, Compliance & Trade Lifecycle knowledge ✔ MAD/MAR regulatory exposure ✔ Cloud platforms & cloud-hosted solutions ✔ DevOps / CI-CD pipelines ✔ Event-driven & distributed architectures ✔ Selenium / Test Automation experience ✔ GitHub Copilot experience 🎯 What You'll Do: • Design, develop, and optimize enterprise-scale data engineering solutions. • Build scalable data pipelines using Scala, Spark, PySpark, and Hive. • Develop APIs and integrate enterprise systems. • Enhance regulatory and compliance-driven applications. • Collaborate within Agile teams to deliver high-quality solutions. • Work in secure enterprise environments supporting complex financial systems. 📩 Interested candidates, apply today or share profiles at mario.i@smartitframe.com