Senior Product Data Engineer – Remote, AI-Driven Pipelines

Block; San Francisco (CA); Remote; USD 180,000 - 270,000; Full time

Benefits offered by this job

Remote work flexibility

Medical insurance

Flexible time off

Retirement savings plans

Family planning

Job summary

Block is seeking an experienced Data Engineer to support the Product Data Engineering Team. You will build and maintain the curated data foundation powering Cash App, Square, Afterpay, and TIDAL, enabling scalable analytics across product lines.

You will lead data modeling, data pipelines, monitoring, and AI-assisted automation, collaborating with Product, Engineering, Data Science, ML, and AI teams to drive impactful insights and reliable datasets.

Qualifications

• 10+ years of related experience with a Bachelor's or 8+ years with a Master’s, or equivalent.
• Strong SQL, Python, and Dbt skills.
• Experience designing medium-to-large data engineering solutions across lifecycle stages.
• Experience with ETL scheduling technologies (Airflow/Prefect).
• Schema design and dimensional data modeling experience.
• Data quality and data lineage monitoring experience.
• Experience with AI and automation in data workflows.

Responsibilities

• Lead creation and optimization of data models across eventing, customer-, and process-level data.
• Own critical data pipelines including foundational datasets and money movement pipelines.
• Build monitoring for data quality and lineage; develop AI agents for automated resolution.
• Participate in on-call rotation and ensure SLAs are met; automate processes with AI agents.
• Translate business requirements into automated end-to-end data solutions.

Skills

SQL

Python

Dbt

ETL scheduling

Data modeling

Data quality

AI automation

Education

Bachelor’s degree (or higher)

Tools

Snowflake

Databricks

Airflow

Prefect

Job description

Block is seeking an experienced Data Engineer to support the Product Data Engineering Team. You will build and maintain the curated data foundation powering Cash App, Square, Afterpay, and TIDAL, enabling scalable analytics across product lines.

You will lead data modeling, data pipelines, monitoring, and AI-assisted automation, collaborating with Product, Engineering, Data Science, ML, and AI teams to drive impactful insights and reliable datasets.