Analytics Engineer

Austin, TX
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Meet GetUpside:

We created GetUpside to help communities thrive! Our retail technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick and mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cash back than any other product, and tens of thousands of brick and mortar businesses earn measurable profit. Billions of dollars in commerce run through the GetUpside platform every year, and that value goes directly back to our local retailers, the consumers they serve, and towards important sustainability initiatives. Our mission, values, and commitment to inclusivity guide our team of more than 200 people worldwide, and the quality of our culture is reflected in the impact we’ve had on communities nationwide.

Meet our Engineering Team:

Our Engineering Team is a close-knit group of hardworking, fast-learning individuals that believes in our mission to help communities thrive. We believe in a data-driven approach to decision-making and an encouraging culture that emphasizes learning from our mistakes. We debate and deliberate on the best ideas to improve our tech stack, and strive for an inclusive atmosphere that champions the psychological wellness of all of our teammates.

About the role:

Our data team is growing! From its earliest days of a couple core data sets in Snowflake, to an end-to-end holistic data product with thousands of data models, our data platform is on an exponential growth curve, and GetUpside’s appetite for data has grown right along with it. This individual will join a small data engineering group enabling engineering teams and business teams to better utilize data and make daily decisions that drive the business. They'll interface across the company, iterate quickly to respond to business needs, and help maintain order in our data products. Plus, as an early member of the team, they'll help set the direction for the analytics engineering team and GetUpside as a whole.

Our tech stack:

  • AWS to run our microservices in a message-oriented architecture
  • Java 8 / Dropwizard / 12-factor apps
  • Python 3 / Serverless AWS Lambdas and Fargate jobs to run data processing tasks
  • MySQL, DynamoDB, S3 as data stores
  • Fivetran, Snowflake, dbt, and Looker to manage, transform, and visualize our data
  • Jenkins / Github / Terraform
  • Java 8 / Dropwizard / 12-factor apps
  • Python 3 / Serverless AWS Lambdas and Fargate jobs to run data processing tasks
  • MySQL, DynamoDB, S3 as data stores
  • Fivetran, Snowflake, dbt, and Looker to manage, transform, and visualize our data
  • Jenkins / Github / Terraform

What you'll do:

  • Transform, test, deploy, and document data to deliver clean and trustworthy data for analysis to end-users.
  • Write production-quality ELT code in SQL and Python with an eye towards performance, maintainability, and scalability.
  • Guide analysts and data scientists on ideal software engineering methodologies (e.g., building test suites and data dictionaries).
  • Own the data warehouse, including documentation, test coverage, and refactoring data models for reusability.
  • Collaborate with data engineers on infrastructure and data warehouse projects.
  • Consult with various departments to understand their data needs, train business users on how to use data and visualization tools, and model data in a way that empowers users to answer their own questions.

What you need:

  • At least 3 years previous experience in a quantitative or engineering role, with the ability to bring code from whiteboard to running in production.
  • An understanding of data structures and/or database design plus experience with SQL, Python, or another analytical language.
  • Experience with a cloud-based data warehouse (Snowflake, Redshift, BigQuery, etc) and BI platforms (Looker, Mode, Tableau, etc) a strong plus.
  • Ability to use a customer oriented and empathetic approach to understand how data can be used to empower end-users.
  • You are passionate about working in a dynamic and growing startup environment with a tight-knit, supportive engineering team that strives to make work interesting, challenging and fun.
  • A constant desire for learning and self-improvement.

The fine print:

  • GetUpside employees are currently working from home during the COVID-19 pandemic. Afterwards our engineering teams are adopting a hybrid approach which can support full-time remote work while enabling in-person meetups as necessary.
  • Notice to recruiters and placement agencies: This is an in-house search. Please do not submit resumes to any person or email address at GetUpside. GetUpside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

GetUpside is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Apply now