🔍 Lead Data Engineer

📍 Remote | Full-Time | Data & Cloud Engineering

Join a forward-thinking data engineering team that’s reimagining how businesses harness big data. As a Lead Data Engineer, you’ll architect and deliver powerful cloud-native solutions that scale intelligently and deliver real-time insights across large datasets.

🚀 What You’ll Be Doing:

• Lead design and deployment of modern data pipelines using Python, Java, or Scala
• Develop and manage real-time and batch data solutions on platforms like AWS, Snowflake, Redshift, and Kafka
• Collaborate with agile teams to build cloud-based applications that power intelligent business decisions
• Optimize distributed systems for performance, resilience, and scalability
• Mentor junior engineers, contribute to architecture decisions, and champion best practices in CI/CD and DevOps
• Stay current with emerging technologies and actively contribute to internal data engineering communities

✅ You’ll Need:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 4+ years in backend or data engineering roles
• 2+ years building with modern big data frameworks (Spark, Kafka, Hadoop, Hive, etc.)
• 1+ year of hands-on experience with AWS, GCP, or Azure
• Strong proficiency in SQL, Python, and/or Java, with real-world experience working with data warehouses like Snowflake or Redshift
• Solid grasp of Linux, shell scripting, and Agile methodologies

⭐ Bonus If You Have:

• 7+ years of software or data engineering experience
• Expertise in NoSQL systems like MongoDB or Cassandra
• Experience working with real-time analytics or event-driven data pipelines
• Familiarity with tools like Airflow, dbt, or Terraform

Make your impact in a high-velocity tech environment where data drives innovation.

Apply now and help shape the next generation of cloud-native data platforms.