DBT SME - Data Modeling, Analytics Engineer

Lead Analytics Engineer We’re seeking a Lead Analytics Engineer to help design, model, and scale a modern data environment for a global software organization. This role will play a key part in organizing and maturing that landscape as part of a multi‑year strategic roadmap. This position is ideal for a senior‑level analytics engineer who can architect data solutions, build robust models, and stay hands‑on with development. This is a remote role with occasional onsite meetings. Candidates must currently be local to the Boston area and reside in MA/CT/RI/NH/ME. Long term contract. W2 or c2c. Highlights Architect and build new data models using dbt and modern modeling techniques. Partner closely with leadership and business teams to translate complex requirements into technical solutions. Drive structure and clarity within a growing analytics ecosystem. Qualifications Bachelor’s degree in Economics, Mathematics, Computer Science, or related field. 10+ years of experience in an Analytics Engineering role. Expert in SQL and dbt with demonstrated modeling experience. Data Modeling & Transformation: Design and implement robust, reusable data models within the warehouse. Develop and maintain SQL transformations in dbt. Data Pipeline & Orchestration: Build and maintain reliable data pipelines in collaboration with data engineering. Utilize orchestration tools (Airflow) to manage and monitor workflows. Manage and support dbt environments and transformations. Hands‑on experience with BigQuery or other cloud data warehouses. Proficiency in Python and Docker. Experience with Airflow (Composer), Git, and CI/CD pipelines. Strong attention to detail and communication skills; able to interact with both technical and business stakeholders. Technical Requirements Primary Data Warehouse: BigQuery (mandatory) Nice to Have: Snowflake, Redshift Orchestration: Airflow (GCP Composer) Languages: Expert-level SQL / dbt; strong Python required Other Tools: GCP or AWS, Fivetran, Apache Beam, Looker or Preset, Docker Version Control: Git / CI-CD Quality Tools: dbt-Elementary, dbt-Osmosis, or Great Expectations preferred Seniority level Mid‑Senior level Employment type Contract Job function Information Technology IT Services and IT Consulting #J-18808-Ljbffr Gardner Resources Consulting