Senior Data Engineer: Cloud-Native Platform & AI Workflows

Benchmark Analytics; United States; On-site; USD 135,000 - 160,000; Full time

Benefits offered by this job

Unlimited Paid Time Off

Medical, dental, and vision plans

401(k)

Short-Term and Long-Term Disability Insurance

Job summary

Benchmark Analytics is looking for an experienced data engineer to transform their data platform from legacy systems to modern cloud-native architecture. Your role will involve designing scalable data pipelines and contributing to the development of a greenfield data platform.

With a focus on Python, Kubernetes, and AWS services, you'll work in a hybrid environment while demanding strong SQL and ETL skills. Benchmark offers competitive salaries, unlimited PTO, and a fully remote work option for U.S.-based employees.

Qualifications

• 6+ years of experience building production-grade data systems.
• Strong SQL and data modeling skills.
• Experience with cloud-based architectures (AWS preferred).

Responsibilities

• Design and develop scalable data pipelines and ETL processes.
• Implement a greenfield data platform using Python and AWS.
• Collaborate with teams to ensure reliable data delivery.

Skills

ETL/ELT development

Python

AWS services

SQL

Data modeling

Docker

Data pipeline optimization

Cloud architectures

Education

Bachelor’s degree in STEM

Tools

Kubernetes

Airflow

Spark

Job description

Benchmark Analytics is looking for an experienced data engineer to transform their data platform from legacy systems to modern cloud-native architecture. Your role will involve designing scalable data pipelines and contributing to the development of a greenfield data platform.

With a focus on Python, Kubernetes, and AWS services, you'll work in a hybrid environment while demanding strong SQL and ETL skills. Benchmark offers competitive salaries, unlimited PTO, and a fully remote work option for U.S.-based employees.