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
How To Apply
Send your
resume + GitHub/Coding Samples to:
careers@kilonewtons.com
Subject:
“Data Engineer Application – [Your Name]”
Applications reviewed within 48 hours!
