Senior Data Engineer, Risk

Block

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$198,000–$297,000 / yr
Posted
70 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $248k
$111k most similar roles pay here $317k

This role pays more than 94% of similar roles. Most pay $136,725–$211,200 — the shaded band above. At the midpoint, this role pays about $248k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Block

Block, Inc. (formerly Square) is a financial technology company operating the Square merchant payments ecosystem, Cash App peer-to-peer payments, TIDAL music streaming, and Bitcoin-focused financial services. Industry: Financial Technology & Payments

Block currently has 53 open roles on FindRole.

Listed pay typically runs $217,800–$326,800 across 52 roles with salary data.

Most-posted roles

View all roles at Block

At a glance

TL;DR · Senior Data Engineer, Risk

Careers - Senior Data Engineer, Risk joins the Compliance or Risk Product Data Engineering teams to support detection and reporting of suspicious financial crimes and protect customers across Cash App, Square, and Afterpay. This role involves managing data architecture, modeling, pipeline tooling, and dashboarding to create reliable foundations for identity, account access, eligibility, controls, and disputes. You will lead the creation of optimized data models using AI code generation, standardize metric definitions, develop data dictionaries, and build monitoring for quality and lineage. The position requires high proficiency in SQL, Python, and Dbt, alongside experience with Snowflake, Databricks, GitHub, Airflow, Prefect, Omni, and Terraform. You will translate business requirements into automated end-to-end solutions while managing the full project lifecycle to ensure data-driven decisions are supported by robust infrastructure across critical financial domains.

What does a Data Engineer earn in California?

Median $199800 from 35 postings across 19 companies.

See salary data

What you'll do

  • Create and optimize data models using AI code generation for eventing, customer level, and process level data.
  • Standardize business and product metric definitions within curated datasets and develop comprehensive data dictionaries.
  • Build monitoring systems to assess data quality and lineage while developing AI agents for automated resolution.
  • Participate in an on-call rotation to monitor, diagnose, and fix business-critical pipelines to meet SLAs.
  • Automate manual processes through AI agents to prioritize high-priority tasks and reduce human effort.
  • Translate non-technical requirements from product teams into technical data requirements and automated end-to-end solutions.
  • Manage the full lifecycle of data engineering projects including scoping, design, development, testing, deployment, and documentation.

What we're looking for

  • A minimum of 10 years of related experience with a Bachelor's degree; or 8 years with a Master's degree; or equivalent experience.
  • High proficiency in SQL, Python, and Dbt.
  • Experience designing medium-to-large data engineering solutions across the entire project lifecycle.
  • Experience with ETL scheduling technologies featuring dependency checking, such as Airflow or Prefect.
  • Experience in schema design and dimensional data modeling.
  • Experience setting up data quality and data lineage monitoring.
  • Experience with data-driven decisions through AI and agentic automation.

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