Data & Analytics Engineer*

Posted on August 3, 2026

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Job Description

Data & Analytics Engineer

Overview

• Location: Remote
• Experience: 8+ Years
• Shift Timings: 2 PM to 11 PM

Key Responsibilities

• Design and maintain robust data pipelines and transformation layers using dbt on top of Snowflake and BigQuery
• Build and manage orchestration workflows with Prefect to ensure reliable and observable data delivery
• Develop and maintain dashboards and data products in DOMO, collaborating with stakeholders to surface actionable metrics
• Establish and enforce data modeling best practices, testing standards, and documentation across the warehouse
• Optimize query performance and manage compute costs across Snowflake and BigQuery environments
• Partner with analytics and engineering teams to define data contracts, semantic layers, and source-of-truth datasets
• Mentor junior engineers and contribute to a culture of data quality and engineering excellence

Required Skills

• 8+ years of experience in data & analytics engineering
• Deep hands-on expertise with Snowflake (warehousing, access controls, performance tuning)
• Strong proficiency in dbt (models, tests, macros, exposures, and CI/CD integration)
• Experience building and managing pipelines in Prefect (flows, tasks, deployments, agents)
• Familiarity with BigQuery, including partitioning, clustering, and cost optimization
• Proficiency in DOMO for data visualization and BI delivery
• Advanced SQL skills; Python experience is a strong plus
• Experience with Git-based workflows and CI/CD for data engineering
• Knowledge of Salesforce Marketing Cloud (SFMC) and Listrak is a plus

Required Skills

No specific skills listed.