Company: Filterbuy
Position: Senior Data Engineer
Location: Remote
Duration: Full-time, Permanent
Salary: Competitive

Filterbuy, a leader in the air quality and manufacturing world, is seeking a Senior Data Engineer to lead the development of our modern analytics infrastructure. This role is critical to designing, building, and optimizing ETL pipelines, data models, and data warehouses that power reporting, analytics, and operational insights across finance, manufacturing, shipping, and marketing.

Responsibilities include, but are not limited to:

• Design, build, and maintain ETL/ELT pipelines using Matillion and Python to extract, transform, and load data from diverse systems into Amazon RDS or other warehouse environments.
• Develop and optimize data models to support analytics, dashboards, and self-service reporting in Amazon QuickSight.
• Collaborate with business and technical stakeholders to define data needs, build scalable data solutions, and ensure data availability across the organization.
• Maintain and improve the AWS data infrastructure, ensuring reliability, performance, and scalability across services like RDS, S3, Glue, and Lambda.
• Implement data quality and validation frameworks, ensuring consistency and integrity throughout all pipelines.
• Partner with analysts and other data consumers to support end-to-end analytics workflows and improve data discoverability.
• Contribute to architectural decisions and mentor other data team members on best practices, coding standards, and data engineering patterns.

Required skills and qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field.
• 5+ years of professional experience in data engineering or a similar technical role.
• Proven experience working within the Amazon data ecosystem, including Amazon RDS, Amazon QuickSight, and related AWS services (e.g., S3, Glue, Redshift, Lambda).
• Proficiency in Python for ETL development, automation, and data manipulation.
• Strong command of SQL and experience designing and optimizing large-scale data models.
• Hands-on experience with Matillion or similar ETL/ELT orchestration tools.
• Excellent analytical, problem-solving, and communication skills, with the ability to translate complex requirements into scalable data solutions.

Nice-to-Haves:

• Familiarity with modern data stack tools such as dbt, Fivetran, Snowflake, and BigQuery.
• Experience in e-commerce or manufacturing data environments.
• Background in marketing attribution, financial reporting, or operational analytics.
• Knowledge of CI/CD, Git-based workflows, and infrastructure-as-code practices.
  
  

This job description is not all-encompassing; however, it is intended to be a general description of the responsibilities of this position.

Company Overview

We are a leading ecommerce company with a mission to deliver high-quality products and exceptional customer experiences. As we continue to grow, we’re looking for a Senior Data Engineer to build and scale our analytics data foundation, enabling accurate, timely insights that support decision-making across the business.

Filterbuy provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics or any other legally protected category.