Senior Data Engineer - Remote & Flexible AI Platforms

Satori Analytics; Kentucky; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Flexible hybrid/remote work

Health benefits

Learning & development

Career growth

Great team & culture

Team events

Modern tools

Valuing workplace

Job summary

Satori Analytics in the United States is seeking a Senior Data Engineer to design, build, and operate scalable data platforms powering marketing analytics and AI initiatives. You will enable campaign measurement, customer insights, and enterprise-scale data products in collaboration with Product, Engineering, Data Science, and Business teams.

You'll lead pipelines, establish best practices, and mentor engineers while advancing cloud-native architectures with Databricks, AWS, Azure, or GCP.

Qualifications

• Must have 5+ years designing scalable data platforms.
• Expertise in modern data engineering technologies.
• Experience delivering cloud platforms (Databricks, AWS, Azure, GCP).
• Strong data governance, security, privacy, and lineage.
• Experience leading initiatives and mentoring engineers.

Responsibilities

• Design, build, and operate scalable data platforms.
• Enable campaign measurement, insights, reporting, and AI/ML.
• Collaborate with Product, Engineering, Data Science, and Business teams.
• Establish engineering best practices, CI/CD, and IaC.
• Lead technical initiatives and architecture decisions.

Skills

Spark

Kafka

Hadoop

Cloud services

Python

Java

Scala

SQL

Data modeling

ETL/ELT

CI/CD

Observability

Security

Governance

Mentoring

Communication

Education

BSc/MSc in CS/SE/DS

Tools

Databricks

AWS

Azure

GCP

CI/CD tools

IaC

Job description

Satori Analytics in the United States is seeking a Senior Data Engineer to design, build, and operate scalable data platforms powering marketing analytics and AI initiatives. You will enable campaign measurement, customer insights, and enterprise-scale data products in collaboration with Product, Engineering, Data Science, and Business teams.

You'll lead pipelines, establish best practices, and mentor engineers while advancing cloud-native architectures with Databricks, AWS, Azure, or GCP.