Data Engineer, Senior

We are seeking one passionate and talented Senior Data Engineer to join our team. In this role, you will have the unique opportunity to build, optimize, and maintain our data infrastructure. You will work with large volumes of data, enabling product teams to access secure and reliable data quickly. Your contributions will support our science team in enhancing the quality of our state-of-the-art AI models and help business users make informed decisions.

Responsibilities

Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure. Automate data quality checks and validation processes.; Collaborate with cross-functional teams to understand data needs and deliver high-quality, actionable solutions, e.g., work closely with machine learning teams to support model training, deployment pipelines, and feature stores.; Optimize data storage, retrieval, processing, and queries for performance, scalability, and cost-efficiency.; Define and enforce data governance, metadata management, and data lineage standards.; Ensure data integrity, security, and compliance with industry standards.

Requirements

Proficiency in Python and SQL; 10+ years of experience in a Data Engineering role; Experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Clickhouse); Experience with dbt; Strong analytical and problem-solving skills, with attention to detail; Ability to communicate complex data concepts to both technical and non-technical stakeholders

Nice to have

Software Engineering experience

Benefits

Healthcare coverage; Parental leave; Retirement plans; Relocation support; Wellness programs; Meal and transportation allowances; Location-specific perks