> Markdown version of [/jobs/ext/4026839-software-engineer-data](https://www.wearedevelopers.com/jobs/ext/4026839-software-engineer-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Data - **Company:** Mitchell Martin - **Location:** New York, NY, United States - **Salary:** $90,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Github - **Published:** October 30, 2026 - **Apply:** https://www2.jobdiva.com/candidates/myjobs/openjob_outside.jsp?a=z1jdnwvsl6ckfah57w51w0ybh73vlo09791ws6svfl6o610e858y169jdhdqs4jb&from=COMP&id=28996312&SearchString=&StatesString= ## About the Role * Intermediate to advanced skills in a general programming language, including object-oriented programming. * Experience working with third-party APIs to build data pipelines. * Intermediate to advanced SQL skills, including complex queries. * Experience with data orchestration tools. * Working knowledge of cloud data warehouses and basic cloud service knowledge. Core Technologies: * Python | SQL | dbt | Dagster | Snowflake | AWS | GitHub ## Description * This full-time position is based in New York, NY, and requires a hybrid work setup. * The role involves maintaining and evolving data systems and platforms to support business-critical operations and analytics. * The successful candidate will work with a small team to integrate data across various departments, enhancing data processes and infrastructure for future initiatives. * Key technologies include a general programming language, data orchestration, and data modeling tools., * Design, build, and maintain data assets for ingestion, transformation, and loading. * Develop and maintain models to support data transformations within the warehouse. * Build and maintain integrations with third-party APIs to construct reliable data pipelines. * Implement best practices for extraction, transformation, loading, and storage processes. * Partner with stakeholders to understand data needs and translate them into actionable insights.