Principal Data Engineer

Location: Remote

*** Mention DataYoshi when applying ***

Come join a winning team! Here at Imprivata you’ll see a dedicated group of professionals who care about improving health care. Our team thrives on collaboration and sharing ideas, whether in a cross-functional meeting or at one of our virtual team-building events.

While we're diverse in our backgrounds and skills, we have much in common. A passion for our mission. A strong sense of integrity. A belief that we're making a positive impact and a commitment to having fun.

We are seeking a Principal Data Scientist to join our team.

About the Role:

Imprivata’s data-science team seeks a principal data engineer. This engineer will architect and lead development of production AI inference pipelines. The ideal candidate will have mature polyglot architectural and coding skills for SaaS products and services, and will be familiar with the following tools and platforms:

  • Python
  • SQL
  • R
  • PostgreSQL
  • Snowflake
  • Athena (Presto)
  • AWS Batch, S3, EC2
  • Metaflow
  • Terraform

Applicants should be comfortable architecting and leading development and maintenance of web-scale production (inference) pipelines for a variety of model types, including deep-learning and classical machine-learning and statistical models. Data parallelism of various kinds will be routine. The ideal candidate will routinely enrich the data-engineering team’s skills through standard setting, mentoring, and similar architectural activities. The role will work closely with our lead data scientists to determine how to scale models developed by the data scientists to workloads of many million events per day.

At Imprivata, we have a top-notch work environment, developmental opportunities, a competitive total rewards package, and the desire to have fun. If you have the skills and qualifications as we have described above, we want to hear from you!

Imprivata provides equal employment opportunities to minorities, females, veterans, and disabled individuals, as well as other protected groups.

*** Mention DataYoshi when applying ***

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