Data Engineering Leader for Analytical Infrastructure
hace 2 semanas
Affirm is revolutionizing credit with honest and friendly services, empowering consumers to buy now and pay later without hidden fees or compounding interest. We are seeking an experienced Data Engineer to join the Analytics Engineering team under Engineering/Infrastructure/Data Systems and Services area. The Analytics Engineering team enables infrastructure and technologies at Affirm for building analytical use cases on top of it by multiple and diverse Analytics teams as stakeholders. This includes modern data governance and catalog, data quality monitoring, and data pipelines observability.
As a Senior Data Engineer, you will play a pivotal part in developing and maintaining critical infrastructure, data pipelines, and systems for analytical use cases with efficiency. There is a challenging and appealing roadmap ahead, and we are looking for passionate engineers like you who can thrive in ambiguity.
- Work closely with engineering managers and tech leads to identify and plan projects based on team goals and resources.
- Collaborate with tech leads, managers, and cross-functional teams within Affirm, including engineering, analytics, and product to deliver technology for analytical use cases.
- Write high-quality code that can be easily understood and leveraged by others.
- Review others' work and provide reinforcing and constructive feedback to meet our high quality standards.
- Serve as a technical resource and engineering mentor for other engineers, both inside and outside the immediate team.
- Foster a respectful and supportive environment that embraces the diversity of the team.
- 5+ years of professional experience in Data Engineering teams or similar.
- Proven working experience and fluency with SQL and DBT for data transformations.
- Proven working experience and proficiency with Python ideally, or other modern programming languages.
- Professional experience with infrastructure as code languages, like Terraform.
- Professional experience with data pipelines, data modeling, data warehouse technologies, cloud infrastructures.
- Professional experience with AWS and/or other cloud providers like Azure, GCP.
The estimated salary for this position is $180,000 per year, considering the requirements and the industry standards. Additionally, you can expect equity compensation, which will be discussed during the interview process. Our benefits package includes medical, dental, and vision insurance, 401(k) matching, and flexible time off.
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