Senior Data Engineer
Remote US
Affirm
With Affirm, you can pay over time at your favorite brands. No late fees or compounding interest—just a more responsible way to say yes to the things you love.Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm proudly includes Returnly.
Our data ecosystem should equip everyone at Affirm to produce and consume high-quality data to make reliable data-driven decisions and products. It should be easy to find, understand, use, and trust any data that flows through Affirm, in any derived from, for any use case. Data is a strong competitive advantage and our team will influence a culture that promulgates the right approach and a robust process towards publishing, consuming, managing and acting on data.
The Data Partners team empowers Affirm’s product and business decisions with a single source of truth (SSOT) data product and enables self-serve data visualization. We maintain robust data pipelines, drive core model adoption and automate processes to ensure certified data is reliable and scalable to our partners. The goal for the team is to Build a platform with frameworks, tools and infrastructure to enable analytics teams to build their business insights. As well as support the org in driving best practices on data production, transformation and consumption.
What You'll Do
- Technical leadership on strategy and execution within the Data@ organization.
- Develop and automate large-scale, high-performance frameworks and visualization to ensure reliability and meet critical business requirements.
- Lead multi-functional engineering projects and implementation. Including but not limited to international data warehouse/data lake architecture, data governance, data quality, and data privacy.
What We Look For
- 6+ years of experience in data infrastructure, CI/CD framework and other areas directly relevant to data engineering.
- Experienced with data governance frameworks and Agile methodology
- Proficiency in SQL constructs and Data Warehouse technologies (NoSQL, logging, columnar, Snowflake, etc.), Big Data technologies (e.g Hadoop, Spark, etc.), analytics (Looker, Tableau, etc.)
- Hands-on experience with data engineering and ETL tools using Python, Bash, Apache Airflow, AWS, Databricks and SQL for cloud data warehouse(Snowflake, Redshift, etc) environments.
- Experience with dbt is a plus!
- Technical leadership: capable of handling mentorship, cross functional project execution, and proven individual contributions.
- Excellent written and verbal communication; able to effectively collaborate with technical and business partners.
- Eager to learn new things and have a growth mindset.
- BS/MS degrees in Computer Science, Engineering, or a related technical field
Location - Remote U.S.
Grade - USA30
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and can be located anywhere in the U.S. and Canada (with the exception of the U.S. Territories, Quebec, Yukon, Nunavut, and the Northwest Territories) unless the job indicates a different global location. We are currently building operations in Spain, Poland, and Australia. Employees in remote roles have the option of working remotely or from an Affirm office in their country of hire, and may occasionally travel to an Affirm office or elsewhere for required meetings or team-building events. Our offices in Chicago, New York, Pittsburgh, Salt Lake City, San Francisco and Toronto will remain operational and accessible for anyone to use on a voluntary basis, subject to local COVID-19 guidelines.
All full-time jobs at Affirm (excluding interns and apprentices) are tied to a transparent grade-based pay range taking location into account.
[Colorado Candidates] In accordance with Colorado’s Equal Pay for Equal Work Act, the grade for this position in Colorado is listed above. You can find the Colorado base pay range and benefits here.
If you got this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who believe in Affirm's mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes. Inclusivity:At Affirm, People Come First is one of our core values, and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2021 DEI Report.
We also believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
By clicking "Submit Application," you acknowledge that you have read the Affirm Employment Privacy Policy, or the Affirm Employment Privacy Notice (EU) for applicants applying from the European Union, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS Big Data CI/CD Computer Science Databricks Data governance Data pipelines Data quality Data visualization Data warehouse Engineering ETL Hadoop Looker NoSQL Pipelines Privacy Python Redshift Snowflake Spark SQL Tableau
Perks/benefits: Career development Competitive pay Startup environment Team events
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