KILONEWTONS
Overview
DATA ENGINEER
role at
KILONEWTONS 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! Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Construction Referrals increase your chances of interviewing at KILONEWTONS by 2x Get notified about new Data Engineer jobs in
San Francisco, CA .
#J-18808-Ljbffr
DATA ENGINEER
role at
KILONEWTONS 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! Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Construction Referrals increase your chances of interviewing at KILONEWTONS by 2x Get notified about new Data Engineer jobs in
San Francisco, CA .
#J-18808-Ljbffr