Data Engineer

TigerData is looking for a skilled and innovative Data Engineer with expertise in building scalable data infrastructure and a passion for enabling data-driven decision making across the organization. You will play a crucial role in designing, building, and maintaining the data systems that power our analytics, product insights, and business intelligence initiatives for Timescale, our open-source database for real-time analytics and time series at scale. Data Engineers at Timescale are essential for ensuring our teams have reliable, accurate, and accessible data to make informed decisions. You'll design and implement robust ETL/ELT processes, manage data infrastructure, optimize database performance, and collaborate closely with Product, Finance, Engineering, and Leadership teams to enable self-service analytics and data democratization. The responsibilities include designing, building, and maintaining scalable data pipelines and ETL/ELT processes, architecting and optimizing data warehouse solutions, and implementing and maintaining data quality frameworks. The requirements include 4+ years of proven experience as a Data Engineer, expert proficiency in SQL, and proficiency in Python.