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Block, Inc.

Senior Data Engineer, Risk

RemoteUnited States only
Published
Role
Data Engineering
Experience
Lead
Employment
Full-time
Company size
Enterprise
$198k–$297k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior Data Engineer with 8-10+ years of experience in SQL, Python, and dbt. Must have experience designing and managing the full lifecycle of medium-to-large data engineering projects, including ETL scheduling, schema design, and data quality monitoring. Experience with AI/agentic automation for data quality and false positive reduction is required.

Core skills

data architecturedata modelingdata pipeline tooling

Required skills

SQLPythondbtAirflowPrefectSnowflakeDatabricksGitHubOmniTerraform

What you'll do

  • Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.
  • Standardize business and product metric definitions in curated and optimized datasets, and develop data dictionaries and other related documentation.
  • Build monitoring to assess data quality and lineage and on top build AI agents for false positive reduction and automated resolution.
  • Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders.
  • Automate this process through AI agents to focus human effort on highest priority tasks.
  • Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and come up with automated end-to-end solutions.

What they require

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

Benefits

  • Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.
🇺🇸 United StatesTechnologyEnterprise
$198k–$297k/yr