> Markdown version of [/jobs/ext/3637355-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3637355-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Engineer

- **Company:** Harnham Inc.
- **Location:** Miami, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Meta-Data Management, DataOps, SQL Databases, Enterprise Data Management, Build Management, Data Lineage, Data Management, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75897566-senior-data-engineer

## About the Role

* 6+ years of Data Engineering, Data Platform or Analytics Engineering experience
 * Strong hands-on SQL, Python and dbt
 * Experience building enterprise-grade data platforms
 * Strong ETL/ELT and data modelling experience
 * Experience with data quality, reconciliation and monitoring
 * Strong communication and stakeholder management skills
 * Financial Services, Wealth Management or FinTech experience is a strong plus

This is ideal for someone who wants to remain technically hands-on while having real ownership over how enterprise data is structured, governed and delivered.

If you're a strong Data Engineer who enjoys building reliable data platforms and solving complex business data problems, I'd love to connect.

## Description

This is a hands-on role where you'll own data pipelines, modelling, transformations, data quality and operational monitoring, while partnering closely with Analytics, Operations and business teams.

What you'll be doing

 * Design and build scalable ETL/ELT pipelines, data models and workflows
 * Develop the enterprise data layer supporting analytics, reporting and data science
 * Build automated data solutions using SQL, Python and dbt
 * Establish data quality, validation, reconciliation and monitoring frameworks
 * Improve data lineage, metadata management and documentation
 * Translate complex business requirements into reliable data solutions
 * Help establish engineering standards across testing and data operations