DBT SME - Data Modeling, Analytics Engineer

Gardner Resources Consulting, LLC; Boston (MA); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading consulting firm is looking for a Lead Analytics Engineer to design, model, and scale a modern data environment for a global software organization. This fully remote position requires 10+ years of experience, expertise in SQL and dbt, and hands-on work with BigQuery. Candidates should also have strong skills in data modeling, Python, and orchestration tools like Airflow. This role emphasizes collaboration with leadership to translate business needs into efficient technical solutions, making it crucial for the analytics ecosystem's growth.

Qualifications

• 10+ years of experience in an Analytics Engineering role.
• Expert in SQL and dbt with demonstrated modeling experience.
• Hands-on experience with BigQuery or other cloud data warehouses.

Responsibilities

• 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.

Skills

SQL

dbt

Data Modeling

BigQuery

Python

Airflow

Docker

Git

CI/CD

Education

Bachelor's degree in Economics, Mathematics, Computer Science, or related field

Tools

BigQuery

Airflow

GCP

AWS

Docker

Fivetran

Job description

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