Macarta was founded in 2016 by a small team of hungry professionals with an eye for the future of e-Commerce. Today, Macarta is one of the fastest growing companies in America, with 100+ employees around the globe and growing. Our business model consists of a full-service retail media agency, providing performance-driven management consulting to global brands.

Our brand partners include the likes of Disney, Nintendo, The North Face, 3M, Wrangler, Mattel and many more.

Macarta leans on years of deep sales channel management, content optimization, and advertising experience, leveraging proven technology to deliver increased revenue and profit for clients. Our company headquarters are located in Denver with offices in San Diego, Mexico City and São Paulo. Macarta has been recognized for the last 2 years on Inc. 5,000’s list of fastest growing companies.

 

Job Summary:

As a Data Engineer, You will play a crucial role in designing, developing, and maintaining our data infrastructure. And will collaborate with cross-functional teams to ensure efficient and reliable data pipelines, data models and data integration solutions. 

 

What You'll Do Here:

• Design, develop, and maintain scalable and efficient data pipelines and workflows.
• Develop and maintain data integration solutions to ensure seamless data flow between various systems.
• Build and optimize data models and schemas for data storage and retrieval.
• Implement data quality and data validation procedures to ensure accuracy and reliability of data.
• Collaborate with data scientists and analysts to understand data requirements and implement data solutions.
• Perform data profiling, analysis, and optimization to improve performance and efficiency.
• Stay up-to-date with the latest industry trends and technologies in data engineering and implement best practices in the organization.
• Document the data infrastructure, including data pipelines, workflows, and data transformation processes.
• Create and maintain comprehensive data dictionaries and data lineage documentation.

 

We Need a Person With:

• Bachelor's degree in Computer Science, Information Systems, or a related field. A master's degree is a plus.
• Proven experience as a Data Engineer or similar role, with a strong understanding of data engineering concepts and best practices.
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with big data processing frameworks such as Hadoop, Spark, or Kafka.
• Strong knowledge of SQL and database systems (e.g., PostgreSQL, MySQL, or Oracle).
• Experience with data modeling and ETL tools.
• Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and data warehouse solutions.