Staff Data Engineer, Analytics Engineering
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Job Description
Staff Data Engineer at Affirm designing next-generation data infrastructure and pipelines. Leading technical strategy with a focus on data quality and collaboration across teams.
Responsibilities:
- Define and lead the technical strategy and roadmap for Affirm’s data infrastructure and analytics platforms
- Architect, build, and scale data pipelines and systems that power analytics, machine learning, and business decision-making
- Partner with cross-functional teams (Engineering and Analytics) to deliver data solutions with measurable business impact
- Champion data quality, observability, governance, and compliance across Affirm’s global systems
- Act as a technical mentor and multiplier, guiding best practices in data modeling, transformation, and code quality
- Drive a culture of operational excellence, ensuring data systems are reliable, performant, and well-monitored
- Collaborate globally to establish consistent technical patterns and elevate the overall data engineering craft
Requirements:
- 8+ years of professional experience in Data Engineering or related roles
- Advanced skills in SQL, Python, and modern data transformation tools (e.g., DBT, Airflow)
- Expertise with cloud data platforms (e.g., AWS, GCP, Snowflake, BigQuery) and Infrastructure-as-Code tools (Terraform preferred)
- Strong background in data modeling, pipeline orchestration, and distributed data systems (e.g., Spark, Kafka)
- Proven ability to design, deliver, and maintain large-scale, high-quality data systems
- Excellent communication and collaboration skills; able to lead through influence
- A growth mindset and a passion for mentoring others.
Benefits:
- 100% subsidized medical coverage, dental and vision for you and your dependents
- Flexible Spending Wallets for tech, food and lifestyle
- Away Days - wellness days to take off work and recharge
- Learning & Development programs
- Parental benefit
- Employee Resource & Community Groups
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