Senior Engineer – Data Systems & Platform
New
T
Talent2winHR technology
Source API remote eligibility restrictions: Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bermuda, Bolivia, Bonaire, Sint Eustatius and Saba, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela, Virgin Islands, British, Virgin Islands, U.S. Perks state: 100% remote – work from anywhere in LATAM.Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Clear English communication skills.
- Experience
- 5+ years building production software in SQL, Python and TypeScript (or similar).
- Required Skills
- PostgreSQLPythonSQLTypeScript
Requirements
- Have 5+ years of experience building production software with SQL, Python, and TypeScript or similar.
- Have deep knowledge of relational database internals and query performance.
- Have experience with Parquet, Iceberg, or similar lakehouse formats.
- Have hands-on experience building AI/LLM features on top of data, including RAG, embeddings, vector stores, and evaluations.
- Use AI coding tools such as Claude Code, Cursor, or Copilot daily.
- Have experience with CI/CD, testing, and monitoring for data systems.
- Be comfortable owning problems end to end and working with non-technical stakeholders.
- Have clear English communication skills.
Responsibilities
- Design, build, and maintain data systems and services using Python, TypeScript, and SQL.
- Tune Azure SQL and PostgreSQL databases, including indexing, query plans, and slow-query optimization.
- Build ingestion and storage using Parquet, Iceberg, or similar column-store and lakehouse formats.
- Build serverless and streaming ingestion pipelines, such as Cloudflare Pipelines to R2.
- Develop AI/LLM features on company data, including RAG, embeddings, vector stores, evaluations, and agentic workflows.
- Own CI/CD, data testing, monitoring, and data-quality alerting for assigned systems.
- Work directly with stakeholders to scope problems and ship solutions to production.
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