Senior Analytics Engineer - Connecteam

6+ years of experience in Data Engineering and Analytics Engineering roles, building modern data warehouses and analytics platforms using technologies such as BigQuery, dbt, and Python Experience with workflow orchestration (Dagster, Airflow, or equivalent) and building reliable, observable data pipelines Hands-on experience using AI coding platforms and tools to automate data engineering and analytics workflows Strong engineering practices including version control (Git), testing, code reviews, and CI/CD Experience building automation systems and internal tools for data teams Experience working closely with analysts, product teams, and business stakeholders in analytics-driven environments Strong problem-solving skills with a builder mindset

We are building the next generation of our analytics platform - combining strong data engineering foundations with AI-driven automation to dramatically accelerate analytics development across the company. We are looking for a Senior Analytics Engineer to help design and build the engineering foundation that powers analytics across the organization. Our goal is to create a modern data environment where analytics development is fast, reliable, scalable, and increasingly automated. This includes building strong data warehouse foundations, scalable modeling layers, and introducing AI-powered tools and automation that accelerate how data products are built and used. In this role, you will be part of the data group, working closely with analytics engineers, analysts and business stakeholders while building the infrastructure, automation frameworks, and intelligent tooling that enable analytics to scale across the organization. This is a unique opportunity to help build the next generation of the data organization.

6+ years of experience in Data Engineering and Analytics Engineering roles, building modern data warehouses and analytics platforms using technologies such as BigQuery, dbt, and Python Experience with workflow orchestration (Dagster, Airflow, or equivalent) and building reliable, observable data pipelines Hands-on experience using AI coding platforms and tools to automate data engineering and analytics workflows Strong engineering practices including version control (Git), testing, code reviews, and CI/CD Experience building automation systems and internal tools for data teams Experience working closely with analysts, product teams, and business stakeholders in analytics-driven environments Strong problem-solving skills with a builder mindset