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Staff Data Engineer at SailPoint Technologies, Inc in Austin, Texas

Posted in General Business 30+ days ago.

This job brought to you by eQuest

Type: Full-Time

Job Description:

At SailPoint, we do things differently. We understand that a fun-loving work environment can be highly motivating and productive. When smart people work on intriguing problems, and they enjoy coming to work each day, they accomplish great things together....  With that philosophy, assembled the best identity team in the world that is passionate about the power of identity.

As the fastest-growing, independent identity and access management (IAM) provider, SailPoint helps hundreds of global organizations securely and effectively deliver and manage user access from any device to data and applications residing in the data center, on mobile devices, and in the cloud....  The company.........s innovative product portfolio offers customers an integrated set of core services including identity governance, provisioning, and access management delivered on-premises or from the cloud (IAM-as-a-service).

SailPoint has been voted a best place to work in Austin, 8 years in a row.... 

SailPoint is looking for a Senior Data Engineer to build, maintain, monitor, and improve a real time scalable, fault tolerant, data processing pipeline for a new cloud-based, multi-tenant, SaaS analytics product.

As one of the first members on the team, you will be integral in building this product and will be part of an agile team that is in startup mode. This is a unique opportunity to build something from scratch but have the backing of an organization that has the muscle to take it to market quickly, with a very satisfied customer base.


  • Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities

  • Implementing ETL processes

  • Monitoring performance and advising any necessary infrastructure changes

  • Defining data retention policies

  • Be part of a team that is creating a brand-new product line

  • Collaborate with team members to help shape requirements

  • Actively engage in technology discovery that can be applied to the product


  • 4+ years of data engineering or related experience

  • Proficient understanding of distributed computing principles

  • Ability to solve any ongoing issues with operating the cluster

  • Proficiency with Hadoop, Flink, and/or Spark

  • Experience with integration of data from multiple data sources

  • Strong knowledge of data cleaning and various ETL techniques and frameworks

  • Great communication skills

  • BS in Computer Science, or a related field


  • Strong Java or Scala experience

  • Experience with Machine learning using Mahout/Deeplearning4j/Spark ML

  • Experience with AWS Big Data technologies such as EMR, Kinesis, Redshift

  • Experience with stream processing using spark streaming/Storm/Beam

  • Experience with Elasticsearch

  • Experience with various messaging systems, such as Kafka or SQS

  • Experience with NoSQL databases, such as Redshift, Cassandra, DynamoDB

  • PHD or MS in Computer Science, or a related field

Compensation and benefits

  • Experience a Small-company Atmosphere with Big-company Benefits

  • Competitive pay, 401(k) and comprehensive medical, dental and vision plans

  • Recharge your batteries with a flexible vacation policy and paid holidays

  • Grow with us with both technical and career growth opportunities

  • Enjoy a healthy work-life balance with flexible hours, family-friendly company events and charitable work

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.