Senior Data Engineer at Revel Street | Torre

Senior Data Engineer

You will architect robust data pipelines and integrate LLM enrichment to drive product innovation.
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Full-time

Legal agreement: Contractor

Currency exchange and taxes to be paid by:

Depends on the location of the candidate

Compensation
USD3k - 5k/month
Negotiable
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Remote (specific timezone)
public
GMT-09:00 to GMT-01:00
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Posted about 1 month ago

Requirements and responsibilities


Responsibilities: - You will proactively turn ambiguous requirements into well-structured engineering plans. - You will communicate trade-offs and risks early. - You will verify outcomes through hands-on testing. - You will bring a “build, measure, improve” mindset to performance, reliability, and user experience. - Design, build, and maintain dbt pipelines for our analytics and operational workloads. - Build and maintain ETL/ELT processes to ingest data from multiple APIs and other external sources. - Set up and manage workflows in orchestration platforms such as Dagster. - Develop and refine our data models to support analytics, reporting, and downstream products. - Diagnose and fix data quality issues (duplicates, missing fields, inconsistent formats, incorrect mappings, etc.). - Implement robust data cleaning and validation checks. - Integrate LLM-based data enrichment (e.g., using OpenAI or similar APIs) to improve and complement event data. - Collaborate with our product and ops team to understand data needs and translate them into technical solutions. Requirements: - Very high English proficiency (clear communication, strong writing, and the ability to collaborate effectively). - At least 3 years of data engineering experience including experience with dbt and the modern data stack. - Some experience with devops, CI/CD, and database management. - At least 6 months of experience working exclusively in an agentic coding environment (e.g., Claude Code, Codex). - Ability to understand data engineering fundamentals, not just generate code—debugging, reasoning about behavior, and ensuring correctness.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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