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Senior Data Engineer

Revel Street LLC · Remote

$54k–$78kPosted pay
RemoteWorkplace
TodayPosted · Aug 18
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Skills in this posting

Extracted from the posting text by the instrument — the demand side, read literally.

The posting

Requirements

Very high English proficiency (clear communication, strong writing, and the ability to collaborate effectively)

At least 4 years of data engineering experience including experience with dbt and the modern data stack

Product and user orientated.

At least 12 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

How we work: You will help us improve data reliability and quality through hands-on validation. We value engineers who can translate ambiguous needs into testable plans, surface risks early, and measure outcomes to drive continuous improvement.

We are looking for an experienced Data Engineer to help us improve data quality, fix existing data issues, and ingest more data from APIs and LLM-based sources to complement our current datasets.

You’ll proactively turn ambiguous requirements into well-structured engineering plans. You’ll communicate trade-offs and risks early, and you’ll verify outcomes through hands-on testing. You’ll bring a “build, measure, improve” mindset to performance, reliability, and user experience.

Leverage coding agents but also think through problems and review data independently of coding agents.

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 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

Data / web scraping experience

Practical experience integrating external enrichment workflows with LLMs while maintaining traceability and data validity

Some experience with DevOps , CI/CD, and database management

We provide a 100-200 Stipend for coding agents.

High ownership of the codebase and the product

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