Data Engineer

Come work for a Top Employer in Denver, and help save lives!

At ZOLL Data, our vision is to improve lives through transformational People and Products . We are one of the Denver Posts’ Top Workplaces for 2017, our 6th consecutive year winning this award.

Perks & Benefits: ZOLL provides a casual work environment, competitive salaries, and a compensation structure that rewards contribution and hard work. Additionally we have stocked kitchens, free daily organic fruit delivery, on-site fitness center, on-site cafe, dry cleaning service and much more! Our full benefits package includes 401(k), medical, dental, vision, life, AD&D, flex spending accounts and STD/LTD.

Who We Are: A leader in emergency software for medics, firefighters, and other lifesavers. We have the resources and stability of a large company, but the nimbleness, ambition, and determination of a startup, because we used to be one.

Who You Are: The Data Engineer will drive and evangelize Reliability Engineering practices and activities across the entire R&D organization, providing best practices in data management and design, ensuring our SaaS Data platforms are fully automated, monitored and stable.

Responsibilities

• Implement best practices for monitoring the integrity of data
• Maintain the data stores from live to cold storage.
• Maintain MS SQL server clusters in multiple environments
• Identify, develop, implement and support automation solutions as needed
• Ensure FDA and HIPAA compliance of all electronic Private Health Information
• Work with application development teams to ensure data architecture best practices
• Perform Root Cause Analysis on any performance risks and mitigate.
• Facilitate quarterly HIPAA compliance reviews
• Design and build scalable data infrastructure for applications, storage and analytics
• Work with large data sets of unstructured and structured data
• Link data contained in disparate data sets for predictive analytics
• Thoroughly understand how ZOLL products work and implement data solutions with meaningful insights
• Work with various stakeholders, including product management, to get requirements and implement appropriate data-driven solutions
• Stay on top of modern data technologies

Desired Skills and Experience:

• Be passionate about data and the power of reliable, safe data
• BS in Computer Science/Applied Math- MS (preferred)
• Equivalent job or military experience will be considered
• 2+ years of experience with data engineering, software engineering with data focus, business intelligence, data conversion, and data modeling
• 2+ years of experience managing large amounts of structured and unstructured data using Cassandra, Hadoop, ELK, Splunk or MS SQL technologies.
• 2+ years of software development experience with one or more of C++, Python or Go
• Exhibit advanced knowledge of SQL; relational and multidimensional models, Data Warehousing methodologies, ETL concepts; and source and target structures.
• Experience with Kafka, Redis and Rabbit MQ
• Experience implementing data retention policies especially for HIPAA or GDPR

Job Type: Full-time

Experience:

• Kafta, Redis, or Rabbit MQ: 1 year (Required)
• Data Engineering: 3 years (Required)
• Cassandra, Hadoop, ELK, Splunk or MS SQL: 2 years (Required)
• C++, Python or Go: 2 years (Required)

Job Location:

• Denver, CO (Preferred)