Are you ready to join one of the most visionary and fastest growing DataOps companies in technology? Are you ready to be part of a unique culture of transparency and integrity? If so, a career at StreamSets might be the perfect fit for you!
At StreamSets, we believe in the audacious, ambitious goal of teasing order out of the chaos of modern data. We help our customers achieve that goal by solving the problem of data integration and data management for continuous delivery and constant change across any platform–past, present, and future.
The StreamSets vision for modern data integration is guided by DataOps, a set of practices and technologies that operationalizes data management and integration to ensure resilience and agility despite constant change. StreamSets technologies are architected with a modern approach to data engineering integration and operations.
Customer Success Engineers are a part of the Professional Services team – you will be responsible for making our most strategic customers successful, leading short to medium term engagements at the client location. You will focus on getting the product up and running, conducting architecture and use case reviews, sizing & tuning StreamSets products. This team solves real world problems related to data ingestion, data drift and data movement.
You are a great fit because you are:
And you have:
Why you should join:
Good people know how to execute on a vision. Great people care deeply about that vision and passionately about the direction the company is headed. We’re building a team dedicated to going fast to achieve our goals with confidence in each other.
StreamSets is proud to be an equal opportunity workplace. Individuals seeking employment at StreamSets are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.
Come be a part of our diverse, dynamic team!
This position does not qualify for visa sponsorship.
Hadoop, Big Data, Kafka, NoSQL, Google Cloud, Amazon Web Services, Microsoft Azure, Data Streaming, Data Ingestion, Light ETL