Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4328780540&distance=25.0&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=100 Job Description: Filterbuy Share Show more options Sr. Data Engineer  United States · 3 hours ago · Over 100 people clicked apply Promoted by hirer · Responses managed off LinkedIn Remote Matches your job preferences, workplace type is Remote. Full-time Apply Save Save Sr. Data Engineer  at Filterbuy Your profile was shared with the job poster. Undo shared profile with the job posterUndo Did you apply? Let us know, and we’ll help you track your application. Yes No Sr. Data Engineer Filterbuy · United States (Remote) Apply Save Save Sr. Data Engineer  at Filterbuy Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job 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.