Senior Data Engineer: Scalable Data Pipelines

Fractal Analytics; California; Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) plan

Paid holidays

Parental leave

PTO policy

Job summary

Fractal Analytics is seeking a Senior Data Engineer to design, build, and operate large‑scale data platforms powering analytics and data science across Retail Online. You will drive production‑grade pipelines, partner with Data Science and Analytics teams, and ensure observability, QA, and cost efficiency.

The role demands hands‑on leadership, cross‑functional delivery, and strong expertise in Python, data warehousing, and Tableau outputs. Hybrid Bay Area work‑model with 3 days onsite is offered.

Qualifications

• 10+ years of software development and data engineering experience.
• Solid knowledge of Hadoop, Python, Snowflake; data warehousing experience.
• Hands‑on Kubernetes, Docker, and CI/CD tooling.

Responsibilities

• Plan scope, timelines, and dependencies across teams.
• Lead governance and incident reviews to ensure reliability.
• Develop and validate production‑grade data assets and dashboards.
• Oversee QA gates for analytics accuracy and reproducibility.
• Coordinate with offshore teams for technical hand‑offs.
• Audit data transformations for domain metric integrity.

Skills

Python prod‑grade

Data pipeline design

Tableau analytics

Cross‑functional collaboration

QA and code quality

Big data concepts

Education

BS in CS/Engineering/Math

MS in CS/Engineering/Statistics

Tools

Docker

Kubernetes

Jenkins

Git

Artifactory

Job description

Fractal Analytics is seeking a Senior Data Engineer to design, build, and operate large‑scale data platforms powering analytics and data science across Retail Online. You will drive production‑grade pipelines, partner with Data Science and Analytics teams, and ensure observability, QA, and cost efficiency.

The role demands hands‑on leadership, cross‑functional delivery, and strong expertise in Python, data warehousing, and Tableau outputs. Hybrid Bay Area work‑model with 3 days onsite is offered.