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SoTalent

Data Engineer

Wilmington, DE

6 days ago
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Summary

📈 Lead Data Engineer – Cloud & Big Data


📍 Location: Remote / Hybrid (U.S.)

🏢 Department: Data Engineering | Cloud Platforms & Real-Time Analytics


Build the backbone of modern data systems.

We’re looking for a Lead Data Engineer to architect and deliver scalable, high-impact data solutions that drive decision-making across a fast-paced, cloud-first enterprise. You’ll join a team of seasoned engineers working at the intersection of real-time data pipelines, distributed systems, and machine learning enablement.


🔍 What You’ll Do:

  • Design and build robust data pipelines using Python, Scala, or Java that power key business applications and analytics
  • Collaborate across Agile squads to deliver high-performance cloud-native solutions using tools like Kafka, Spark, and Redshift
  • Drive technical strategy and mentoring, elevating best practices in data modeling, engineering, and DevOps
  • Develop and optimize ETL frameworks to support streaming and batch processing at scale
  • Integrate with cloud platforms (AWS preferred) and ensure architecture meets SLAs around performance, scalability, and security
  • Support unit testing, peer reviews, and deployment cycles in CI/CD workflows


🛠️ Tech Stack:

  • Languages: Python, Scala, Java, SQL
  • Cloud: AWS (preferred), GCP, Azure
  • Tools: Spark, Hive, EMR, Kafka, MapReduce, Redshift, Snowflake
  • Databases: MySQL, MongoDB, Cassandra
  • OS: Unix/Linux + Shell scripting
  • DevOps: Git, CI/CD, Agile methodology


✅ Basic Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 4+ years of hands-on experience in application or data engineering
  • 2+ years working with big data frameworks
  • 1+ year experience with cloud platforms (AWS, Azure, GCP)


⭐ Preferred Experience:

  • 7+ years in backend or data application development
  • 4+ years with public cloud services, especially AWS
  • Expertise in real-time data processing and streaming architecture
  • Deep experience with data warehousing platforms like Redshift or Snowflake
  • Strong UNIX/Linux background with scripting skills
  • Active contributor to Agile teams and cross-functional delivery


🌟 Why Join?

  • Lead cutting-edge data initiatives that directly support millions of end users
  • Solve complex engineering challenges in a highly collaborative, innovation-driven environment
  • Access top-tier tools, infrastructure, and professional development opportunities
  • Be part of a diverse, mission-driven culture that values ownership, transparency, and creativity


Ready to lead the next generation of cloud data engineering?

Apply today and build the systems that power intelligent business outcomes.

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