Senior Analytics Engineer - Remote, Equity, Data Platform Leader

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 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.