Data Engineer – Contractor
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Job Description
Data Engineer optimizing AI workflows and building data pipelines for BiOptimizers. Collaborating on system architecture and ensuring data quality in a remote-first environment.
Responsibilities:
- Design, configure, and maintain AI agent workflows using Cursor and Claude Code, including structured markdown-based instruction files, slash commands, and agent workflows that implement your architecture automatically. • Research and evaluate new approaches to agent orchestration, identifying where the current system can be made faster, more reliable, or more scalable. • Continuously question existing processes and propose improvements. This is expected, not exceptional. • Guide and review AI-generated code with a critical eye; you are the architect, the agents are the executors. • Build and maintain a RAW → Base → Data Marts pipeline using dbt Core, implementing business logic at the transformation layer. • Own data pipelines end to end, from API ingestion through incremental strategy, transformation, and QA, with full accountability for architectural decisions. • Write and maintain tests and documentation at every layer of the pipeline. • Connect to and pull data from marketing and e-commerce APIs including Meta, TikTok, Shopify, and Klaviyo. • Build comprehensive test suites using Great Expectations or equivalent tooling. • Implement business logic validation checks and automated quality monitoring across the pipeline. • Manually inspect data at the table level, not only through automated scripts, before presenting any conclusions. • Verify your own work as a default behavior, not a step that needs to be requested. • Implement complex business logic and data validation in Python. • Build ETL scripts, automation workflows, and API integration scripts. • Write code that is built to scale, not just to solve the immediate problem.
Requirements:
- Expert-level, hands-on proficiency with Cursor and/or Claude Code, used locally in a terminal to build and architect data systems (non-negotiable). • 3+ years of experience in data engineering with a track record of owning pipelines end to end. • Strong Python skills for data processing, API integrations, and business logic implementation. • Experience building and maintaining dbt transformations in a production environment. • Demonstrated ability to work independently in a remote environment, you set timelines, you deliver, you own the result. • A communication style that is direct and specific, you push back when something does not make sense, and you flag problems early. • US time zone availability (CT or ET zones).
Benefits:
- Flexible work arrangements • Remote work options
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