Senior Engineer, Platform Analytics

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design and manage the data pipelines that supply Platform Analytics — event ingestion and entity/reference ingestion into Snowflake — ensuring high reliability and quality standards.

• Develop and maintain the conventional data-engineering ELT to establish a dependable source of truth in the data warehouse.

• Participate in the creation of data models, curating and structuring source-system data into reliable, conforming datasets while applying best practices in dimensional modeling and engineering.

• Enhance production performance, reliability, and cost-efficiency — including performance tuning, monitoring, alerting, and resource management.

• Assist in evolving the platform towards its targeted architecture, implementing design strategies and offering architectural and scalability recommendations.

• Oversee the development lifecycle for your projects — from implementation and testing to deployment — working alongside the team to deliver and sustain the platform.

• Mentor junior engineers and contribute to the establishment of team standards for code quality and operational practices.

• Utilize AI coding tools effectively in everyday engineering tasks — streamlining development, testing, and debugging processes.

⛳️ Requirements

• A minimum of 8 years of relevant or equivalent experience; or 6+ years with an advanced degree.

• Proficient, hands-on experience in designing and delivering data warehouses and analytical datasets — encompassing data curation, integration, and data-quality processes.

• Strong SQL development skills and performance tuning expertise on analytical databases (e.g., Snowflake).

• Familiarity with streaming and real-time data processing (e.g., Kafka) and with change-data-capture (CDC) ingestion for entity/reference data.

• Experience in dimensional data modeling and in using source control, testing, and deployment workflows for ELT (e.g., dbt, git-based CI/CD).

• Knowledge of workflow orchestration tools (e.g., Apache Airflow) for scheduling, managing dependencies, and monitoring production data pipelines.

• Capable and efficient use of AI coding tools in daily engineering activities.

• Ability to provide architectural, scalability, and reliability insights, and work collaboratively within an Agile team.

• Excellent communication skills — a strong collaborator and trusted team member, able to engage with both the product and team.

🏝️ Benefits

• Competitive compensation

• Bonus eligibility

• Comprehensive medical coverage

• Unlimited PTO

• Wellness reimbursement

• Professional development funds