Guild is hiring a Senior Data Engineer. In this role you will work across teams to help us build the next generation of data products. You’ll work with world class data engineers to design and build the scalable, robust, and high-quality data infrastructure and data pipelines needed to support growth of our education network and SaaS platform. Ultimately, you’ll help change the landscape for how we think about delivering education products to learners across the country by building a digital solution that connects students, employers, and universities to deliver education at an affordable price to students.

A day in our open, collaborative workspace might look like:

• Designing, building, and expanding Guild’s backend data infrastructure, including data pipelines, ETL, infrastructure as code, data warehouses, and data APIs
• Build our infrastructure as code (IaC) systems to enable the team to build, change, and version infrastructure safely and efficiently
• Expand our functionality within existing systems and tooling
• Translating complex business requirements into usable, scalable data models and systems
• Mentoring other engineers and analysts on the team and sharing technical knowledge to enable others to be more effective at their jobs

In this role, you’ll expand your expertise by:

• Evolving our data products now and in the future by contributing to our backend data architecture
• Working in an agile team environment with a high performing engineering team
• Taking on a cross-functional role that will expose you to the ins and outs of Guild (working with our Product, Design, Client Success, and Student Services teams)
• Receiving feedback through our learning-focused, twice annual Structured Growth Conversations

You’ll know if you’re successful by:

• Choosing and leveraging the latest technologies in data engineering to automate data integration and loading, such as, Snowflake, Terraform, Amazon Redshift, Java, Python, S3 and PostgreSQL
• Leveraging your experience to design solutions that will be the backbone of a highly scalable, reusable, backend data infrastructure
• Ensuring our data is clean, accurate, and secure
• Thriving in fast-paced and scaling environment

You’ll join a team:

• From diverse backgrounds – from traditional higher education, to athletic coaches, to politicians, to mental health professionals (and more!)
• Of learners & problem-solvers dedicated to our dual mission of changing education in America while building a successful, high-growth company
• Committed to building a diverse, equitable, and inclusive environment that you’d support every day

What you’ll add to Guild – as an individual and part of the broader team:

• Experience building data pipelines, custom ETL processes and data warehouses
• Experience with one or more programming languages such as Java or Python
• Expertise in database technologies such as Snowflake, Redshift, PostgreSQL, and working with large sets of data
• Experience improving software products through engineering best practices such as refactoring, reusability, TDD and continuous integration
• A proven ability to thrive in changing environments by having a fast, flexible, cooperative work style
• Strong communication skills and the ability to effectively explain technical concepts to other engineers, analysts, product managers, and stakeholders.
• Experience with BI tools such as Looker, Tableau, Kibana, Chart.io, etc.
• Basic experience in statistical analysis, text processing, and machine learning
• Passion for higher education and our mission – Guild is pioneering a new path for education as a benefit in a complicated and regulated space – success means quickly and effectively adapting your expertise
• A drive to work hard and plan for how you can refresh/recharge while working in a startup
• Something else? Wonderful, we’re curious to learn more about you!

We feel passionately about equal pay for equal work, and transparency in compensation is one vehicle to achieve that. Total compensation for this role is market competitive, including a base salary range of $160,000-$178,750, as well as company stock options. 

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