We're seeking an experienced Data Engineer to build and maintain the core automation engine that powers CODVO.AI's data intelligence platform.

In this role, you'll own the end-to-end Python codebase responsible for data ingestion, standardization, matching logic, scenario classification, and report generation.

You'll be the primary architect of our data pipeline and Excel/PDF output systems, while collaborating closely with stakeholders to translate complex business requirements into robust, scalable solutions.

What You'll Do:

- Design and build ETL pipelines that ingest, validate, and standardize data from multiple sources with high accuracy and performance.

- Develop matching logic and fuzzy matching algorithms using tools like rapidfuzz to identify and reconcile data discrepancies across datasets.

- Create automated report generation systems that produce Excel and PDF outputs with complex formatting, formulas, and dynamic content.

- Implement data transformation workflows including date normalization, field mapping, and scenario classification based on business rules.

- Write comprehensive unit tests using pytest and maintain code quality through version control (Git) and code review practices.

- Translate business requirements into technical specifications, documenting matching rules, reconciliation scenarios, and data workflows directly from stakeholder discussions.

- Optimize database queries and data operations using relational databases (PostgreSQL, MySQL) and SQLAlchemy ORM for efficient data access.

- Collaborate with cross-functional teams to troubleshoot data issues, validate outputs, and continuously improve pipeline reliability and performance.

What We're Looking For:

Required Qualifications:

- 5+ years of professional Python development experience.

- Strong hands-on expertise with pandas, openpyxl, and xlsxwriter for data manipulation and Excel generation.

- Proven experience building and maintaining ETL pipelines and data matching logic.

- Solid understanding of relational databases (PostgreSQL, MySQL) and SQL query optimization.

- Experience with fuzzy matching techniques and date/time normalization.

- Proficiency with pytest for unit testing and Git for version control.

- Ability to self-manage requirements, prioritize tasks, and work independently in a remote environment.

- Excellent communication skills with the ability to document technical solutions and business rules clearly.

Nice to Have:

- Experience with SQLAlchemy ORM and advanced database design patterns.

- Familiarity with Databricks or other cloud data platforms.

- Knowledge of Tableau or other business intelligence tools.

- Experience with data quality frameworks and validation methodologies.

- Background in business analysis or requirements gathering.

- Exposure to CI/CD pipelines and automated testing frameworks.

What We Offer:

- Flexible remote work with a collaborative team environment.

- Meaningful impact on data-driven solutions that help organizations make better decisions.

- Professional growth opportunities to expand your skills in cloud platforms, advanced analytics, and system architecture.

- Competitive compensation commensurate with experience.

- Full-time engagement with long-term project stability.

- Collaborative culture where your technical expertise and insights are valued.

- Opportunity to mentor junior developers and shape engineering best practices.