Senior Analytics Engineer - Build Scalable Data Warehouses

Metropolis; New York (NY); On-site; USD 130,000 - 175,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Stock options

Bonus plans

Job summary

A forward-thinking tech company in New York seeks a Senior Analytics Engineer to join their Data Engineering and Analytics team. You will design and implement large-scale data warehouses, build data transformation pipelines, and ensure data accessibility for informed decision-making. The role requires 5+ years in data engineering, proficiency in SQL and Python, and experience with platforms like Snowflake and dbt. The company values in-person collaboration and offers a salary range of $130,000 to $175,000. Benefits include healthcare, a 401(k), and stock options.

Qualifications

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL.
• 3+ years of experience with dbt.
• Expert at SQL, window functions, and query optimization.

Responsibilities

• Design and implement large-scale data warehouses and data marts using Snowflake.
• Build and maintain data transformation pipelines using SQL frameworks like dbt.
• Partner with engineering, data science, and business stakeholders.

Skills

Data/analytics engineering

SQL

Python

dbt

Data warehouse design

Data quality assurance

Tools

Snowflake

dbt

Job description

A forward-thinking tech company in New York seeks a Senior Analytics Engineer to join their Data Engineering and Analytics team. You will design and implement large-scale data warehouses, build data transformation pipelines, and ensure data accessibility for informed decision-making. The role requires 5+ years in data engineering, proficiency in SQL and Python, and experience with platforms like Snowflake and dbt. The company values in-person collaboration and offers a salary range of $130,000 to $175,000. Benefits include healthcare, a 401(k), and stock options.