Senior Data Engineer at Hour Consulting

They are a SaaS company with supporting students actively using our platform globally.

Understanding students and institutions, as well as their behaviors through data, lies at the foundation of our work to improve student success. Every data point in the systems is important to helping us achieve that goal, so they are looking for people with a strong background in data engineering and analytics to help us design, build, scale, as well as maintain our data pipelines and models. As a Senior Data Science Engineer, you will be working with a variety of internal teams across engineering, product, and business to help solve their data needs. Your work will directly and tangibly impact the success of millions of students across the world.

In terms of the role and responsibilities, you will

• Identify the data needs of our engineering, product, and business teams, understand their specific requirements for metrics and analysis, then build efficient, scalable, accurate, and complete data pipelines to enable data-informed decisions across the company
• Architect data pipelines and models that power internal analytics for our teams, as well as customer-facing data visualization product features
• Drive the collection of new data and the evolution of existing data sources, collaborate with the engineering teams to manage our product instrumentation strategies and data structures
• Help the product and engineering teams understand and generalize statistical models from our research efforts, and help build data systems that would allow these models to be used directly in our product to drive student success
• Work with Product Management to ensure productive, fast-moving sprints that deliver the maximum value to our customers
• Help to continuously improve the team processes of our engineering team

You should

• Have at least 5-7 years of experience in a Data Engineering or Data Science role, with a focus on instrumenting data collection, building data pipelines and conducting data-intensive analysis
• Have a strong engineering background and are interested in data
• Care deeply about the integrity of data, have a good nose for inconsistencies in data, and be able to pinpoint the issue to ensure that the team is not making decisions based on inaccurate or incomplete data
• Have extensive experience of a scientific computing language (e.g. Python) and SQL
• Have experience building an Amazon Web Services-based system that processes data across multiple data stores and technologies, including MySQL, Redis, Elasticsearch
• Know the best practices of how different types of data should be visualized in different contexts
• Be comfortable using multiple communication and collaboration tools to work effectively with colleagues across North America and Europe

What will make you stand out

• Experience working with Python or Java web applications
• Experience working in the higher-ed technology space, particularly in a Data Engineering related role
• Experience leading a team
• Experience working with a remote or distributed team

What you can expect

• A chance to work towards an amazing mission of helping students succeed as a team member of a global tech startup
• Remote-friendly work environment: Ability to work from anywhere in the EST in the US
• Generous paid vacation time
• Continuous learning and growth culture with many opportunities to develop professionally
• Health Benefits including health, dental, life , disability insurance and travel coverage
• Participation in matching 401K plan
• Home Office Set up support with a company laptop, equipment and support to set up your home office
• A chance to work with a global collaborative, friendly and diverse team