Mentored fellow data engineers through code reviews, architectural decisions, and technical planning sessions
Led the design and implementation of scalable, secure data pipelines using dbt, Apache Airflow, and SQL
Collaborated with Product Managers to launch new customer-facing analytics capabilities
Partnered with DevOps to optimize cloud infrastructure with Terraform and AWS-managed services
Built and maintained integrations with MySQL, SQL Server, and OLAP systems to support product insights and internal operations
Participated in our on-call rotation to ensure platform reliability and performance
Contributed to the hiring, onboarding, and professional development of the Data Engineering team
Explored and evaluated new tools—including AI-assisted coding platforms like Claude and Windsurf—to improve engineering workflows

Requirements

Strong proficiency in SQL and Python
Hands-on experience with AWS infrastructure and data services
Familiarity with MySQL, SQL Server, and OLAP databases
Experience using Terraform or other infrastructure-as-code tools
Expertise in modern data tooling, particularly dbt and Apache Airflow
Operating reliable and performant pipelines in production environments
Building data platforms that support both internal stakeholders and external customers

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythondbtApache AirflowTerraformAWSMySQLSQL ServerOLAPdata pipelines

Soft Skills

mentoringcollaborationtechnical planningcode reviewsleadershiponboardingprofessional developmentcommunicationproblem-solvingreliability