Oh Snap!
This job is no longer active - but you can still view the details below.

Data Engineer

| Greater Boulder Area
As the newest member of our data pipeline team you have a gift for building tools that consume and transform ginormous data sets into readily available information for your data science group. You understand the fundamentals of statistical methods that underlie machine learning and relish the opportunity to put them into practice. Standardizing, normalizing, testing and optimizing data is your passion. You are talented at contributing to the direction for new patterns as well as identifying improvements to our existing work that will make Gloo’s products even more valuable for clients! We have worked hard to build a healthy and transparent team that truly enjoys working together. Want to play?

What you'll be doing:

  • Assembling large, complex data sets that meet functional and non-functional business requirements
  • Identifying, designing, and implementing internal process improvements – everything from automating manual processes to optimizing data delivery to re-designing infrastructure for greater scalability
  • Effectively collaborating with data team members to develop the Insights Platform and its data pipeline
  • Designing, constructing, installing, testing, and maintaining highly scalable data pipelines
  • Developing data set processes for data modeling, mining, and production
  • Integrating new data management technologies and software engineering tools into existing structures
  • Brainstorming with your team to continually support scalable architecture

What you'll bring with you:

  • BS in Computer Science, Engineering or a related discipline
  • About 4 years of experience with data models, data analysis and data engineering where terabyte-volume datasets are commonplace
  • Expert level experience working with MapReduce
  • Advanced knowledge of AWS services including EC2, EMR, Redshift, Elasticsearch and NoSQL databases
  • Comfort with Git, Kafka, Jenkins, Hive, Oozie, Cascading
  • Demonstrated experience building and optimizing ‘big data’ pipelines, architectures, and data sets
  • Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Creative, articulate, and competent communication style – you deliver your message clearly, concisely, and confidently every time
  • You thrive in an environment where “what if” is commonplace
  • Desire to contribute to a team doing great things

Our team members enjoy:

  • Compensation and bonus commensurate with experience
  • Plenty of time off to keep you balanced
  • Medical with HSA contribution
  • A dynamic, talented team, dedicated to changing the world and building an incredible business
  • Beautiful office space in downtown Boulder on Pearl Street, steps from coffee shops and blocks from hiking trails
  • Company Happy Hour Fridays
  • Fresh fruit, snacks, coffee and sodas
Read Full Job Description


Gloo's campus is on the west end of Pearl in downtown Boulder. We are walking distance from great natural beauty and hip trendy eateries and cafes!

What are Gloo Perks + Benefits

Gloo Benefits Overview

• Compensation commensurate with experience
• A full suite of benefits including performance bonus and equity
• An incredible team of talented and passionate folks to hang out with

Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Retirement & Stock Options Benefits
Performance Bonus
Child Care & Parental Leave Benefits
Family Medical Leave
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Perks & Discounts
Casual Dress
Stocked Kitchen
Happy Hours
Pet Friendly
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
More Jobs at Gloo7 open jobs
All Jobs
Data + Analytics
Design + UX
Dev + Engineer
Design + UX
Data + Analytics
Data + Analytics