Software Engineer, Data Reliability Platform

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Data Reliability team ensures that Block's data ecosystem is observable, trustworthy, and resilient. We build the systems that detect, prevent, and mitigate data issues across critical analytics and ML workloads. Sitting within our AI and Data/Analytics (AiDA) organization, we partner closely with data infrastructure, Machine Learning, and product analytics teams to provide foundations for reliable data from lineage and quality signals to data incident response and service-level metrics.

You Will

• Develop and scale data quality and observability integrations.
• Partner with platform, analytics, and ML teams to identify, diagnose, and prevent recurring data issues.
• Contribute to the company-wide reliability strategy, designing core metrics and standards for data health.
• Collaborate with data platform and privacy teams to improve metadata completeness and accountability.
• Share knowledge and help establish engineering best practices for testing, observability, and operational excellence.

You Have

• 4+ years of experience in data, data platform, or software engineering roles.
• Strong proficiency in Python or Java/Kotlin, and SQL for analytical and diagnostic workflows (or a willingness to learn!)
• Familiarity with data pipeline orchestration, alerting, or monitoring systems (e.g., Airflow, Dagster, or Prefect).
• Familiarity with incident management practices, including on-call participation, postmortems, and root cause analysis.
• Familiarity with modern data warehousing and streaming systems such as Snowflake, Databricks, Kafka, or similar.
• Understanding of data modeling, lineage, and metadata concepts and their role in data trust and compliance.
• A collaborative mindset and a focus on making systems observable, self-healing, and transparent.

Technologies We Use and Teach

• Languages: Kotlin, Python, SQL
• Data Platforms: Snowflake, Databricks, Kafka
• Workflow & Orchestration: Airflow, Prefect
• Infrastructure: Kubernetes, AWS, Terraform

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out ourI+D page.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.