Data Engineer

🚀 A fast-growing AI solutions company is looking for a Data Engineer to help power cutting-edge AI systems used by enterprises, governments, and top tech companies. You’ll play a key role in designing, optimizing, and maintaining data pipelines, working in a highly dynamic environment that thrives on innovation.

🎯 Role:

🔹 Build, optimize, and maintain scalable ETL pipelines
🔹 Develop and enhance data lakes and data warehouses (e.g., Snowflake, Databricks)
🔹 Collaborate with engineers and clients to refine data processing workflows
🔹 Conduct code and design reviews to maintain high-quality data infrastructure
🔹 Mentor junior engineers and contribute to technical discussions
🔹 Travel up to 30% for meetings with clients (as needed)

🛠️ Requirements:

✅ 3+ years of experience in software development or Big Data
✅ Strong knowledge of Python and PySpark
✅ Hands-on experience with ETL frameworks (e.g., dbt)
✅ Experience with AWS services (IAM, S3, Security Groups)
✅ Proficiency in Infrastructure-as-Code (Terraform, etc.)
✅ Ability to communicate effectively and work in a fast-paced environment

💰 Benefits & Salary:

💵 Salary: $109,000 - $121,000 (dependent on location and experience)
📈 Equity options for senior-level hires
🏡 Remote-first with flexible work arrangements
🏥 Comprehensive health, dental, and vision insurance
📚 Learning & development stipends
🏖️ Generous PTO & paid holidays

Skills:
Python, PySpark, ETL, dbt, AWS, Snowflake, Databricks, Terraform, Data Engineering, Big Data, Cloud Computing, Data Pipelines

Application URL: https://jobr.pro/job/16730939/data-engineer