Senior Data Engineer
Revel Street LLC · Remote
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
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Careers a data engineer can move intoevery measured route out
- Data Architect → Data Engineer48% readiness
- Data Analyst → Data Engineer31% readiness
- All open data engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data engineer’s profile already covers.
- 27 open data architect roles92% readiness from data engineer
- 238 open data analyst roles60% readiness from data engineer
- 574 open solutions architect roles59% readiness from data engineer
- 32 open database administrator roles58% readiness from data engineer
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