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DBT SME - Data Modeling, Analytics Engineer (Boston)
DBT SME - Data Modeling, Analytics Engineer (Boston)Gardner Resources Consulting, LLC • Boston, MA, US
DBT SME - Data Modeling, Analytics Engineer (Boston)

DBT SME - Data Modeling, Analytics Engineer (Boston)

Gardner Resources Consulting, LLC • Boston, MA, US
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.part_time]
  • [job_card.temporary]
[job_card.job_description]

Were 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

  • Bachelors 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
  • Modeling Techniques : Vault 2.0, 3NF, Dimensional Modeling, etc.
  • Version Control : Git / CI-CD
  • Quality Tools : dbt-Elementary, dbt-Osmosis, or Great Expectations preferred
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