Senior Analytics Engineer

Harnham Inc.
Orange County, CA, United States
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$150,000 - $180,000
Working hours
Regular working hours

Tech stack

Data Analysis Information Engineering Database Queries Python (Programming Language) Programming Languages

Requirements

  • 5+ years of experience in Analytics Engineering, Data Engineering, or technical analytics roles \n

  • Strong SQL skills and experience with Python or a similar programming language \n

  • Experience building scalable data models in fast paced environments \n

  • Experience with tools such as dbt, Redshift, and BI platforms \n

  • Ability to work independently and take ownership of projects \n

  • Strong communication skills and ability to partner with cross functional teams \n

Benefits & conditions

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.

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

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What You’ll Do

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  • Design and develop data models that represent core business functions such as Finance, Supply Chain, Manufacturing, People, and Operations \n

  • Build scalable data pipelines and transformation frameworks \n

  • Manage data ingestion and integration across multiple internal systems \n

  • Work closely with engineering, product, and operations teams to translate business needs into reliable data solutions \n

  • Contribute to the architecture and development of the company’s data platform \n

  • Support the development of self-service data tools and applications used across the business \n

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