Design, build, and maintain scalable data pipelines that transform raw data into analytics-ready datasets
Develop clean, structured data models that standardize business metrics and reporting
Implement data quality checks, testing frameworks, and monitoring systems to ensure reliability
Build and maintain integrations with APIs, databases, and third-party tools
Design and manage the data warehouse architecture for scalability and performance
Optimize pipeline performance, cost efficiency, and data processing workflows
Partner with cross-functional teams to translate business needs into technical data solutions

Requirements

3–6+ years of experience in Data Engineering or similar roles
Strong Python and advanced SQL (joins, aggregations, window functions, optimization)
Experience building and maintaining production-grade data pipelines
Solid understanding of data warehousing concepts and data modeling
Experience working with APIs, cloud infrastructure (AWS preferred), and modern data stacks

Benefits

Performance bonuses
Growth incentives
Benefits built to support health, wellness, and professional goals

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdata pipelinesdata modelingdata warehousingdata quality checksmonitoring systemsAPI integrationscloud infrastructuredata processing workflows

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingattention to detail