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Role Description

This role is ideal for a hands-on data engineering professional who thrives on building and maintaining complex data platforms that power analytics and AI initiatives across multiple business functions. You will work with a modern stack including Snowflake, dbt, Airflow, and AWS to optimize ETL pipelines, ensure reliable data integrations, and support enterprise-wide decision-making. The position involves close collaboration with analysts, data scientists, and engineering teams to design scalable data models, improve pipeline performance, and contribute to emerging AI workflows. You will take ownership of infrastructure, security, and cost optimization, while applying best practices in CI/CD, Terraform, and version-controlled deployments. This is an opportunity to make a direct impact on business insights and operational efficiency while working in a remote-first, high-performing team environment.

• Develop, maintain, and optimize dbt models across multiple data marts serving analytics, finance, marketing, compliance, and data science functions.
• Build, maintain, and enhance ETL/ELT pipelines using Airflow, including custom operators, hooks, and sensors for ingestion from diverse data sources.
• Manage Snowflake infrastructure, including DDL deployments, role-based access control, warehouse configuration, query optimization, and cost management.
• Maintain Terraform-managed access provisioning, ensuring secure and auditable permissions across the Snowflake environment.
• Support CI/CD pipelines, automated testing, and version-controlled deployments for dbt Cloud, Airflow, and serverless workflows.
• Collaborate with cross-functional teams to design data marts, feature engineering tables, and semantic layer metrics that enable self-service analytics.
• Contribute to AI/ML initiatives, preparing datasets and infrastructure for LLM-powered workflows and predictive modeling projects.

Qualifications

• 5+ years of experience in data engineering or analytics engineering with strong hands-on expertise in dbt and SQL development.
• Deep knowledge of Snowflake, including DDL management, RBAC, warehouse configuration, query performance tuning, and cost optimization.
• Proficiency in Airflow (or similar orchestration tools), Python, Terraform, and Infrastructure as Code practices.
• Experience with AWS services, including Lambda, S3, and serverless architecture patterns.
• Strong understanding of data modeling, dimensional modeling, and enterprise data architecture.
• Solid Git and CI/CD workflow knowledge, with experience in automated testing and version control.
• Excellent troubleshooting and analytical skills, with the ability to diagnose complex pipeline failures and optimize performance.
• Clear communication skills, capable of translating technical concepts to non-technical stakeholders.

Benefits

• Competitive salary based on experience and location, with tiers ranging from $154,850 to $196,350 annually.
• Comprehensive medical, dental, and vision plans with flexible spending and health savings accounts.
• Unlimited paid time off and 10 company holidays, plus fully paid parental leave.
• Remote-first work culture with optional in-person collaboration at office locations.
• Equity grants to share in the company’s growth and success.
• 401(k) retirement plans, life insurance, and short- and long-term disability coverage.
• Monthly stipends for internet, mobile, wellness, and one-time home office setup reimbursement.