Block
Software Engineer, Data Reliability Platform
Block, San Francisco, California, United States, 94199
Software Engineer, Data Reliability Platform
Remote Bay Area, CA, US
Posted Date: 11/04/25
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
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 our I+D page .
Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location’s zone designation, please refer to thisresource. If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
Zone B:
$171,000 — $256,600 USD
Zone C:
$162,000 — $243,000 USD
Zone D:
$153,000 — $229,600 USD
#J-18808-Ljbffr
Remote Bay Area, CA, US
Posted Date: 11/04/25
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
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 our I+D page .
Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location’s zone designation, please refer to thisresource. If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
Zone B:
$171,000 — $256,600 USD
Zone C:
$162,000 — $243,000 USD
Zone D:
$153,000 — $229,600 USD
#J-18808-Ljbffr