Senior Data Engineer

Summary

Join Workato's data engineering team as a Senior Data Engineer and contribute to maintaining two crucial data circuits: one for internal analytics and another for in-product analytics. Your primary responsibility will be developing a new, near real-time usage tracking/billing platform integrated with various internal systems. This platform will support advanced use cases like usage forecasting and anomaly detection. You will collaborate closely with a small, flexible team, utilizing modern tools like Snowflake, Clickhouse, and Airflow. Workato offers a vibrant and dynamic work environment with numerous benefits. The role requires extensive experience in data engineering, proficiency in SQL and various programming languages, and strong communication skills.

Requirements

• 5+ years of work experience building & maintaining data pipelines on data-heavy environments (Data Engineering, Backend with emphasis on data processing)
• Fluent knowledge of SQL
• Strong knowledge of common analytical domain programming languages such as Java, Scala and basic knowledge of Python
• Strong experience with Flink and Spark
• Experience with Data Pipeline Orchestration tools (Airflow, Dagster or similar)
• Experience with Data Warehousing Solutions (Snowflake, Redshift, BigQuery)
• Confidence in using Git, K8s and Terraform
• Good understanding of Data Privacy and Security (GDPR, CCPA)
• Good communication and collaboration skills
• Readiness to work remotely with teams distributed across the world and timezones
• Spoken English (at the level enough to pass technical interviews and later work with colleagues)

Responsibilities

• Maintain two data circuits: one for internal analytics and another for in-product analytics
• Develop a new usage tracking/billing platform providing accurate near real-time data for both circuits
• Integrate the new platform with the back office, internal data warehouse, and in-product analytical and reporting tool (Workato Insights)
• Address advanced use cases like usage forecasting, anomaly detection, and real-time alerts
• Collaborate closely with the ML team
• Work as part of a small, flexible team of 4 engineers
• Have a direct impact on modernizing and maturing the platform, including architecture decisions
• Use modern tools such as Iceberg Datalake, Snowflake, Clickhouse, Airflow, Flink, Spark, Trino, and Kafka Ecosystem on a daily basis

Preferred Qualifications

• Production experience with PostgreSQL and Clickhouse
• Experience with building billing/usage tracking platforms
• Experience with a solution cost optimization and capacity planning
• Exposure or interest working with Data pipeline technologies

Benefits

• Vibrant and dynamic work environment
• A multitude of benefits they can enjoy inside and outside of their work lives