Senior Analytics Engineer

Harnham; California; On-site; USD 120,000 - 190,000; Full time

Job summary

Harnham is partnering with a high-growth technology company building software platforms that support complex, real-world operations. They are expanding their data platform and seeking a Senior Analytics Engineer to help build and scale the company’s core data foundation.

The role sits at the intersection of analytics, engineering, and business operations, translating how the organization runs into scalable data models and systems.

Qualifications

• 5+ years in Analytics or Data Engineering roles.
• Strong SQL skills; proficient in Python.
• Experience building scalable data models in fast-paced environments.
• Experience with dbt, Redshift, and BI platforms.
• Independent worker who takes ownership of projects.
• Strong communication and cross-functional collaboration.

Responsibilities

• Design and develop data models that represent core business functions.
• Build scalable data pipelines and transformation frameworks.
• Manage data ingestion and integration across internal systems.
• Collaborate with engineering, product, and operations to translate needs into data solutions.
• Contribute to architecture and development of the data platform.
• Support self-service data tools used across the business.

Skills

SQL

Python

Analytics Engineering

Data Modeling

ETL

Tools

dbt

Redshift

BI platforms

Job description

We are partnered with a high growth technology company building software platforms that support complex, real world operations. As the business continues to scale, they are investing heavily in their data platform and are looking to hire a Senior Analytics Engineer to help build and expand the company’s core data foundation.

This role sits at the intersection of analytics, engineering, and business operations, helping translate how the organization runs into scalable data models and systems.

What You’ll Do

• Design and develop data models that represent core business functions such as Finance, Supply Chain, Manufacturing, People, and Operations
• Build scalable data pipelines and transformation frameworks
• Manage data ingestion and integration across multiple internal systems
• Work closely with engineering, product, and operations teams to translate business needs into reliable data solutions
• Contribute to the architecture and development of the company’s data platform
• Support the development of self-service data tools and applications used across the business

What They’re Looking For

• 5+ years of experience in Analytics Engineering, Data Engineering, or technical analytics roles
• Strong SQL skills and experience with Python or a similar programming language
• Experience building scalable data models in fast paced environments
• Experience with tools such as dbt, Redshift, and BI platforms
• Ability to work independently and take ownership of projects
• Strong communication skills and ability to partner with cross functional teams

If you’re excited by building data applications that influence how an organization operates.