Senior Analytics Engineer

Who is Recruiting from Scratch:

Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates.

https://www.recruitingfromscratch.com/

Title: Senior Analytics Engineer

Location : United States · Remote

Company Stage : Growing Organization

Office Type : remote

Compensation: $165k-190k + Benefits

Company Description

We're representing a dynamic organization that views data as a pivotal strategic asset. Our client is on the cutting edge of building robust data infrastructure, empowering decision-making across the business. You will have the opportunity to significantly influence how data is modeled, governed, and utilized at scale during a transformative phase of growth.

What You Will Do

• Architect and own end-to-end data models and ELT pipelines that cater to analytical and operational requirements across the organization.
• Build and maintain modular, well-documented dbt projects, ensuring effective transformation layers are deployed.
• Design and optimize data models within cloud data warehouses such as Snowflake, BigQuery, or Redshift, focusing on performance and cost efficiency.
• Collaborate with data analysts, data scientists, product managers, and business stakeholders to define metrics and deliver trusted data products.
• Establish best practices for data quality, testing, documentation, and pipeline observability to enhance data governance.

Ideal Candidate Background

• 5–8+ years of hands-on experience in analytics engineering, data engineering, or data architecture.
• Advanced proficiency in SQL and a strong understanding of Python for data transformation and pipeline development.
• Proven experience with dbt and building modern ELT pipelines from start to finish in production environments.
• Practical experience with at least one major cloud data warehouse: Snowflake, BigQuery, or Redshift.
• Strong communication skills to effectively convey technical concepts to non-technical stakeholders.

Preferred

• Experience in direct-to-consumer (D2C), consumer technology, or subscription-based business models.
• Background in data governance frameworks, data quality processes, and defining canonical metrics.
• Passion for mentoring junior analytics engineers and elevating team capabilities.

Compensation and Benefits

This role offers competitive compensation, including equity options, and a commitment to work-life balance with a sustainable pace of approximately 40 hours per week. Join a mission-driven organization that values your expertise and contributions!