Senior Data Engineer — Production Pipelines, Hybrid

Fractal; California (MO); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) plan

Parental leave

Paid holidays

PTO

Job summary

Fractal is hiring a Senior Data Engineer in the Bay Area (Hybrid: 3 days onsite) to design, build, and operate large-scale data platforms powering analytics and data science across a major Retail Online organization. The role demands delivery-focused engineering at the intersection of data pipelines, analytics engineering, and production operations.

You will partner with Data Science, Analytics, and Business teams to scope initiatives, govern dependencies, and deliver dependable data assets for

Qualifications

• Expertise in Python production-grade software development

Responsibilities

• Design, build, and operate large-scale data platforms for analytics and data science.
• Lead cross-functional programs with Data Science, Analytics and Business teams.
• Enforce QA, observability, and cost-efficiency in production pipelines.
• Own data pipelines from ETL/ELT to deployment on Kubernetes.

Skills

Python

Kubernetes

Docker

Tableau

CI/CD

Unix/Linux

Data pipelines

Agile

SQL/Big data

Education

BS in CS/Engineering/Math

MS preferred

Tools

Snowflake

Hadoop

Teradata

Redshift

Job description

Fractal is hiring a Senior Data Engineer in the Bay Area (Hybrid: 3 days onsite) to design, build, and operate large-scale data platforms powering analytics and data science across a major Retail Online organization. The role demands delivery-focused engineering at the intersection of data pipelines, analytics engineering, and production operations.

You will partner with Data Science, Analytics, and Business teams to scope initiatives, govern dependencies, and deliver dependable data assets for