Description Viral Launch is looking for business minded Data Engineer/Architect to join our growing team of data science experts. We are looking for someone who is very passionate about building high performing and scalable data infrastructure, enabling data science research and analysis, and helping data scientists to take machine learning models to production. Our Data Science team is based out of our Indianapolis, Indiana headquarters (we will a highly consider a remote candidate).
Why is this job important to Viral Launch?
Viral Launch has established themselves as a market leader in a short amount of time by providing unrivaled value for our clients by harnessing powerful market data to drive new innovative products and services within the nation’s largest e-commerce marketplace.
Critical to Viral Launch and at the heart of its operations is data. We consume, create and store lots and lots of data. This role is vital in bridging the gap between multiple sources of data and the internal consumers of data (analysts, systems, data scientists, etc). You will work closely with engineering and data scientists to tackle problems and develop innovative tools to make our customers more profitable.
What You Will Do
As the Data Engineer/Architect, you will be evolving and optimizing data and data pipeline architectures, as well as, optimizing data flow and collection for cross functional teams. You should be an expert data pipeline builder who enjoys optimizing data systems and evolving them. You will support software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data and models devOps (dataOps) architecture is consistent throughout ongoing projects. You are self-directed and comfortable supporting the dataOps needs of multiple teams, systems and products. You will also be responsible for integrating them with the architectures used across multiple systems. The right candidate will be excited by the prospect of optimizing or even re-designing dataOps architectures to support existing and next generation of AI-driven solutions.
Architect and implement high performance data pipelines for distributed systems and data analytics for deep learning teams Use infrastructure as code to build, deploy, operate, and maintain big data analytics infrastructure. Create and maintain optimal data and model dataOps pipeline architecture Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud-based ‘big data’ technologies from AWS, Azure and others. Create tool-chains for analytics and data scientist team members that assist them in building and optimizing AI workflows Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management capabilities
No Visa Sponsorship is available for this position.
Why work with us?
• Medical/Dental/Vision/Life Benefits
• SIMPLE IRA with company match
• Potential to earn equity (not guaranteed)
• Flexible schedules and Unlimited PTO
Please submit your resume, portfolio, and any additional materials. If you have any relevant web links, please be sure to include them.
Ready for launch? 3…2…1…Apply!