Disruptive
Care
Consumer
Connection &Analytics Engineer
Bumble
Data Science
Austin, TX, USA
Posted on Nov 5, 2025
Inclusion at Bumble Inc.
Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.
In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).
Bumble is expanding its data engineering function, and we are looking for experienced analytics engineers to help us build out our data infrastructure, ways of working, and modernise our data stack. We are looking for individuals passionate about designing creative solutions to balance bespoke in-house solutions and external tools to best reflect the needs of the data organization and help drive data governance, quality, availability, and drive best practices.
WHAT YOU'LL DO
- You will deliver scalable, clean, documented models that abide by best practices and frameworks, helping to aid data discoverability, accessibility, maintenance, reporting and machine learning.
- You will be a key partner with data engineering, machine learning and data science teams, to translate technical requirements into non-technical outcomes and vice versa.
- You will optimise our reporting to reflect consistency in sources of truth, and align stakeholders in your domain on definitions of metrics and dimensions.
- You will act as translator between business and analyst requirements and applications to the data model.
- You will be a data steward, in charge of the governance, maintenance, and scalability of the data model you own, ensuring smooth communication of updates, changes, and downstream impact.
- You will be an expert in our data viz tool, error and data observability tooling, automation, ci/cd, iac, dbt and warehousing (glue/snowflake/spark), and understand and proselytize on best practices and standards when it comes to efficient querying, automation, and computational costs.
- You will practise design thinking when architecting data models, pipelines and automation.
- You will engage with both technical and non-technical stakeholders and team members to define and develop analytical solutions to drive the growth of the business or better attract and retain talent.
- You will collaborate with subject matter experts, data users, and other stakeholders to understand organizational processes and deliver relevant support which could range from dashboarding, data modeling, automation, computation at scale, ci/cd workflows, building agents and onboarding new users.
WHO YOU ARE
- You can break down and explain complex processes, requirements and data architecture to both technical and non-technical stakeholders. You’ll have demonstrable experience in presenting these solutions to your peers.
- You have worked with multiple data visualisation and transformation tools, with preference for dbt, github, snowflake, airflow, airbyte, spark, terraform and looker or similar.
- You have extensive experience with data transformation using dbt, and are either certified or an expert in the tool and its standards.
- You will have extensive experience with data governance using a data catalog, semantic layer, FinOps, data observability and tuning AI tools to get the best from these practises.
- You are an expert in SQL and Python and are willing to upskill teams on best practices.
- You are at ease working with large and complex data sets and can speak to the fundamental problems with datasets that require extreme amounts of compute and storage.
- You will have a structured mindset and way of working that does not shy away from owning and leading projects using strong project management principles.
- You will have a working knowledge of design thinking & agile methodologies.
- Exposure to Version Control software such as git, including ci/cd workflows and best practises
- Experience with data products used for machine learning systems and the backend and all the bells and whistles required to keep production systems live and healthy.
- Knowledge of automation tools such as Streamlit
- Experience with AWS/GCP and all their offerings
BONUS POINTS
About Us
Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products.
AI in Bumble Inc. Hiring
At Bumble, we may use AI tools to support parts of our recruitment process — such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team’s efficiency and improve the candidate experience — not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you’d prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you’d like a transcription or summary deleted, please contact your recruiter directly.