Staff Data Engineer
Calendly- Full Time
- Senior (5 to 8 years)
Candidates must possess 8+ years of professional data engineering experience, significant expertise in Apache Beam/Spark/Flink or MapReduce, strong object-oriented programming skills in a JVM language, and familiarity with various datastores and their appropriate usages. Experience at a sub-200 person company and a comfort level with balancing ownership and collaboration are also required.
The Lead Data Engineer will construct data pipelines to ingest and merge billions of individual entities into Windfall’s core data asset, working closely with the data science team to run ML models on top of billions of data points. They will build supporting data services and applications to orchestrate and monitor data systems, utilizing technologies such as GCP, Java, Python, Kotlin, BigQuery, Postgres, Scylla/Cassandra, Dataflow, Apache Spark, and Airflow.
Provides people insights for customer engagement
Windfall provides insights that help organizations identify and engage potential customers across various industries, including retail, travel, finance, education, healthcare, and nonprofits. Its platform uses a wide range of data attributes and intent signals to help businesses understand key customer segments and uncover opportunities for targeted outreach. Clients can access the platform through a subscription model, which includes tools for measuring the effectiveness of their marketing campaigns. Windfall differentiates itself by offering tailored solutions for different roles within organizations, ensuring that clients can maximize their marketing efforts and drive revenue growth. The goal of Windfall is to help businesses achieve quick results and significant growth by providing accurate and meaningful insights.