Analytics Engineer: Build Scalable Data Pipelines

EdgeQ Technologies Private Limited; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

EdgeQ Technologies Private Limited is seeking an Analytics Engineer in San Francisco to transform raw data into reliable, well-structured datasets for BI and strategic decision-making. You will design scalable pipelines, build data models with SQL and dbt, and manage data warehouses while ensuring data quality, governance, and security.

You will collaborate with analysts, product managers, and stakeholders to understand reporting needs and optimize performance across Snowflake, BigQuery, or

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.
• 3–8 years of experience in Analytics Engineering, Data Engineering, or a related role.
• Strong expertise in SQL, Python, and data transformation using dbt.
• Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Proven ability to design scalable, reusable data models and implement ETL/ELT pipelines.

Responsibilities

• Design, develop, and maintain scalable data transformation pipelines.
• Build and manage data models using SQL and dbt.
• Develop and maintain data warehouses and data marts.
• Implement data quality testing, validation, and monitoring.
• Collaborate with data analysts, product managers, and business stakeholders to understand reporting requirements.
• Optimize SQL queries and improve data warehouse performance.
• Maintain documentation for data models, workflows, and transformations.
• Ensure data consistency, accuracy, governance, and security.

Skills

SQL

Python

Data modeling

Education

Bachelor's degree in CS/IT/Data Analytics

Tools

dbt

Snowflake

BigQuery

Redshift

Job description

EdgeQ Technologies Private Limited is seeking an Analytics Engineer in San Francisco to transform raw data into reliable, well-structured datasets for BI and strategic decision-making. You will design scalable pipelines, build data models with SQL and dbt, and manage data warehouses while ensuring data quality, governance, and security.

You will collaborate with analysts, product managers, and stakeholders to understand reporting needs and optimize performance across Snowflake, BigQuery, or