Senior Analytics Engineer

Recruiting from Scratch LLC; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity options

40-hour work week

Job summary

Recruiting from Scratch is partnering with a growing data organization seeking an Analytics Engineer to own end-to-end data models, ELT pipelines, and trusted metrics.

You will work with Snowflake/BigQuery/Redshift, dbt, Python, and SQL to deliver scalable solutions, collaborate with analysts, product managers, and stakeholders, and elevate data governance and quality across the business.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

dbt

ELT pipelines

Tools

Snowflake

BigQuery

Redshift

Job description

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/

Company Stage: Growing Organization

Office Type: remote

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!