🔢 Job Title: Data Engineer
📍 Location: San Francisco, USA (Hybrid/Remote Options)
🏢 Company: KILONEWTONS
🌐 Website: www.kilonewtons.com
💻 Experience: 5+ Years
🚀 About KILONEWTONS
At KILONEWTONS, we turn raw data into rocket fuel for innovation! 🚀 We’re seeking a Data Engineer to architect scalable data pipelines and power our next-gen analytics platforms. If you eat SQL for breakfast and dream in distributed systems, let’s talk.
⚙️ Core Responsibilities
- Design and optimize high-volume ETL/ELT pipelines (batch & real-time)
- Build cloud-based data warehouses/lakes (Snowflake, BigQuery, Redshift)
- Develop Apache Spark/Kafka workflows for stream processing
- Implement data governance & quality frameworks (Great Expectations, DBT)
- Collaborate with AI/ML teams to productionize data models
- Automate infrastructure using IaC (Terraform, CloudFormation)
🛠️ Tech Stack Requirements
✅ 5+ years in data engineering (Python, Scala, or Java)
✅ Cloud Platforms: AWS (EMR, Glue, Kinesis) / GCP / Azure
✅ Big Data Tools: Spark, Hadoop, Airflow, Databricks
✅ Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra)
✅ DevOps: Docker, Kubernetes, CI/CD pipelines
✅ Bonus: Machine learning pipelines (TensorFlow, PyTorch)
🌟 Why You’ll Love It Here
- Work with petabyte-scale datasets for Fortune 500 clients
- Competitive Salary + equity & performance bonuses
- 100% covered health benefits & 401(k) matching
- Annual tech conference budget
- Flexible PTO & remote-first culture
Applications reviewed within 48 hours! ⏱️