Senior Data Engineer, Risk & Compliance — Remote

Cash App; Denver (CO); On-site; USD 198,000 - 297,000; Full time

Benefits offered by this job

Remote work

Medical insurance

Flexible time off

Retirement savings plans

Family planning support

Job summary

Cash App, part of Block, is seeking a senior Data Engineer to design and optimize data models, pipelines, and analytics foundations across multiple products. You will enable compliance, risk and product teams with scalable, AI-enhanced data platforms.

You will build robust data architectures, establish data quality and lineage, and collaborate with engineers, product managers, and analysts to translate business requirements into automated data solutions. Strong SQL/Python/Dbt skills are required.

Qualifications

• Minimum 10 years of related data engineering experience with a Bachelor’s degree; or 8 years with a Master’s degree.
• High proficiency in SQL, Python, and Dbt.
• Experience designing medium-to-large data engineering solutions across the full lifecycle.
• ETL scheduling with dependency checking (Airflow/Prefect).
• Schema design and dimensional data modeling.
• Data quality and data lineage monitoring.
• Experience with AI-enabled automation and data-driven decision making.

Responsibilities

• Lead creation and optimization of data models and pipelines.
• Standardize metrics definitions and develop data dictionaries.
• Build monitoring for data quality and lineage; deploy AI agents to reduce false positives.
• Participate in on-call rotation and ensure SLAs; automate pipelines with AI agents.
• Collaborate with non-technical partners to translate business needs into data requirements.

Skills

SQL

Python

Dbt

AI-driven automation

Data modeling

ETL pipelines

Data quality monitoring

Data lineage

Education

Bachelor’s degree or equivalent experience

Tools

Snowflake

Databricks

Dbt

GitHub

Airflow

Prefect

Terraform

Omni

Job description

Cash App, part of Block, is seeking a senior Data Engineer to design and optimize data models, pipelines, and analytics foundations across multiple products. You will enable compliance, risk and product teams with scalable, AI-enhanced data platforms.

You will build robust data architectures, establish data quality and lineage, and collaborate with engineers, product managers, and analysts to translate business requirements into automated data solutions. Strong SQL/Python/Dbt skills are required.