Block

Block

Block is a company that consists of Square, Cash App, Spiral, TIDAL, TBD, and foundational teams. They are focused on economic empowerment by creating tools to expand access to the economy. Square helps sellers run and grow businesses, Cash App redefin...

Capital Markets
10K-50K
Founded 2009

Description

  • Design, build, and enhance core components and frameworks that power Block’s Lakehouse platform.
  • Develop and maintain standardized data ingestion frameworks to enable robust, efficient, and governed data pipelines.
  • Build, operate, and improve core Lakehouse infrastructure with attention to performance, reliability, and cost optimization.
  • Collaborate with product, data engineering, machine learning, and AI teams to gather requirements and ensure seamless integration with the Lakehouse.
  • Establish and promote best practices for Lakehouse architecture, data governance, query performance, and cost optimization.
  • Improve internal frameworks and developer tooling to drive standardization and enhance the developer experience across data workflows.
  • Oversee and support critical ingestion pipelines and serve as a subject-matter expert in data ingestion, query optimization, and Lakehouse architecture.
  • Contribute to the long-term technical vision by identifying opportunities for innovation and shaping the future of data operations infrastructure.

Requirements

  • 8+ years of industry experience in software engineering or data platform development with a focus on scalable data systems or distributed infrastructure.
  • Strong programming proficiency in Python, Java, or Go, with experience building data frameworks, libraries, or services.
  • Hands-on experience with modern data platforms and distributed data processing systems such as Apache Spark.
  • Solid understanding of data modeling, ETL/ELT processes, and data lake or Lakehouse architectures.
  • Experience with cloud-based data ecosystems (AWS, GCP, or Azure).
  • Familiarity with Databricks and Snowflake (used on the platform) and with data storage formats like Delta Lake or Apache Iceberg (preferred).
  • Experience with infrastructure-as-code and cloud tooling such as Terraform (preferred).
  • Proven ability to collaborate with cross-functional teams (product, ML, analytics) and drive platform-wide best practices.

Benefits

  • Work from anywhere in the US or Canada (remote-eligible).
  • Salary ranges by US zone: Zone A $217,800–$326,800; Zone B $207,000–$310,400; Zone C $196,100–$294,100; Zone D $185,200–$277,800 (actual starting pay depends on skills, experience, location, and market conditions).
  • Medical insurance and other health benefits (company benefit offerings highlighted).
  • Flexible time off / PTO and modern family planning support.
  • Retirement savings plans.
  • Inclusive interview experience with reasonable accommodations for disabled applicants and commitment to equal opportunity hiring.

Interested in this position?

Apply directly on the company website

Apply Now

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