Data Engineer
Gloo is driving the digital transformation of the church ecosystem. We build technologies that help churches be more informed, and tools that help them be better connected – to their people, partners, networks and donors.
Gloo is a SaaS-enabled marketplace that is powered by our core capabilities:
Insights+ - Data Analytics (Be more informed), GlooConnect - Adtech (Better connected) and Assessments - Surveys (Connected and informed).
We are a dedicated, fast-moving, and passionate team who needs more talented professionals who are driven to make a positive impact.
Data Engineer
As a member of Gloo’s newly formed Data Engineering team, your role is to bring your passion and experience in big data technologies and contribute to building a world class data management platform. Working in concert with teams throughout the organization you will be gathering, organizing, slicing and dicing data elements from dozens of sources to create a super slick platform that you are proud to put your name on. Your expertise and innovation will help expand and optimize our data pipeline architecture to build the next generation of data products and initiatives.
What you'll be doing
- Building a data pipeline and big data components that will process 100’s of billions of data elements from dozens of data sources with incredible performance
- Working in concert with the Data Science team to ensure that we continue to be the leader in growth-oriented insights
- Working closely with the Data Acquisition team to fully understand opportunities and complexities in bringing new sources of data
- Collaborating with our core Services team to deliver sophisticated API’s to our partners and development teams
- Exploring new technologies to solve complex problems and help to meet high demands for usability, performance and security requirements
- Bringing your ideas around technology and process to drive solutions and support your team
- Embracing a hands-on approach to fully understand our current system comprised of components including: AWS, Databricks, Spark, Kafka, Elastic Search, and Kubernetes
What We're Looking For
- A Bachelor’s degree in Computer Science or related field, advanced degrees prefered
- Experience delivering high quality software in Massively Parallel Processing (MPP) environments, AWS a big plus
- At least 5 years of experience in a highly technical engineering team in the Adtech, ecommerce or consumer research space
- Proven track record of innovation and expertise in Data Engineering
- A strong understanding and advocacy of modern software engineering process and procedures in areas such as DevOps, software quality, and documentation
- Ability to work effectively in a strong team environment to innovate and produce solutions
- Hands on experience with SQL/NoSQL technologies, Spark, functional programming and distributed/fault tolerant data processing
- A passion for learning new technologies, data analysis, and identifying data patterns and trends
The Perks/Benefits
- Compensation and bonus commensurate with experience
- Plenty of time off to keep you balanced
- Medical with HSA contribution
- 100% remote flexibility
- A dynamic, talented team, dedicated to changing the world and building an incredible business
- Headquartered in downtown Boulder on Pearl Street, steps from coffee shops and blocks from hiking trails
Compensation: $120,000 - $140,000
Applications welcomed from those who are US Citizens or hold a Green Card.