Data Engineer

Mashburn•Atlanta, GA

12d

About The Position

Mashburn is seeking a Data Engineer to join their internal data team. This role involves taking hands-on ownership of the existing data warehouse and dbt environment built on Google BigQuery. The focus is on maintaining and enhancing the current analytics stack and data models, which are partially supported by external developers. The primary objective is to bring more of this work in-house by developing a deep understanding of business processes and translating requirements into reliable data transformations. Implementing new data sources and data models will also be crucial. The Data Engineer will collaborate closely with BI developers and business stakeholders to deliver trusted, analytics-ready datasets that support reporting and decision-making across the organization. While this role does not involve dashboard or report development, it is critical for ensuring the quality, consistency, and usability of the data powering them. This is an individual contributor position with no people management responsibilities. Over time, the role will gain greater ownership of key data domains, more complex transformations, and broader responsibility for data accuracy and reliability. Success will be measured by improved delivery speed, reduced reliance on external development, and increased trust in data.

Requirements

2–4+ years of professional experience writing SQL and performing data transformations using dbt
Hands-on experience using dbt in a production analytics environment
Experience working with Google BigQuery, Snowflake, or Databricks
Ability to navigate, understand, and improve existing data models written by others
Enjoy working in a team environment and collaborating across departments to understand the business and how that impacts the data
Strong ability to learn and understand business processes and apply them to data logic
Experience interfacing with APIs (rest and/or graphql)
Strong communication skills and a collaborative, team-oriented mindset
Reflects our core values of hopeful, helpful, hardworking, humble, nimble, hospitable and honest.

Responsibilities

Maintain, extend, and improve an existing dbt project and BigQuery data warehouse
Develop and optimize SQL transformations that accurately reflect business logic
Work directly with business stakeholders to understand processes and data usage
Manage existing and build new ELT pipelines
Implement changes in dbt
Refactor inherited models for clarity, performance, and reliability where appropriate
Integrate data from external systems and APIs (rest, graphql, etc)
Partner with Power BI developers to ensure datasets support accurate reporting
Contribute to data quality through testing, documentation, and validation
Leverage AI-assisted development tools (e.g., Cursor, Claude, etc) to amplify abilities, enhance productivity, and problem solving