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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Data Platform - **Company:** Block, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $217,800.0 - $326,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Apache HTTP Server, Big Data, Continuous Integration, Data Governance, Data Infrastructure, Data Warehousing, Python (Programming Language), Software Engineering, Snowflake, Kotlin, Core Data, Infrastructure Automation Frameworks, Data Management, Terraform, Looker Analytics, Databricks - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/124324e6-9123-4ef3-87f1-b75935d0f201 ## About the Role * Senior-level software engineering experience, with strong Python skills and a record of designing, shipping, and operating production systems. * Hands-on experience building or operating data platforms, data products, or large-scale data infrastructure. * Experience with Snowflake, Databricks, or comparable modern data platforms. * Experience with Terraform and infrastructure-as-code practices. * A practical understanding of the tradeoffs involved in managing petabyte-scale data: performance, cost, reliability, access controls, lineage, quality, and governance. * Experience collaborating directly with data practitioners, and empathy for the workflows they use to turn data into decisions. * Strong technical judgment, clear communication, and the ability to lead across teams. Technologies We Use and Teach * Languages: Python, Kotlin * Data platforms: Snowflake, Databricks, Apache Iceberg * Orchestration & transformation: Apache Airflow, dbt, Prefect * Infrastructure as code & CI/CD: Terraform, Buildkite, GitOps * Catalog, lineage & data quality: DataHub, Anomalo * BI & analytics: Looker, Omni * Cloud: AWS ## Description We're hiring an experienced software engineer to build and own the data platform that helps teams across the company work with trusted data at scale. This role shapes the foundations for data warehousing, orchestration, business intelligence, governance, and Block's agentic workflows. You'll combine strong software engineering with hands-on experience working closely with data, building platforms that make it safer and faster for data practitioners to discover, produce, transform, govern, and use data. You Will * Design, build, and operate core data-platform capabilities, including data warehousing, orchestration, business intelligence tooling, and data governance. * Build reliable Python services and developer-facing tools that improve how teams create and operate data products. * Develop scalable infrastructure as code with Terraform. * Establish patterns that let teams manage petabyte-scale data while maintaining strong governance, security, reliability, and usability. * Partner with data engineers, analysts, scientists, and product teams to turn their needs into durable platform capabilities. * Evaluate and build agentic workflows that make data work more effective, while maintaining appropriate controls and observability. * Set technical direction, raise engineering standards, and mentor other engineers., 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers)