> Markdown version of [/jobs/ext/3885748-data-engineer](https://www.wearedevelopers.com/jobs/ext/3885748-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).

---

# Data Engineer

- **Company:** Green Key Resources
- **Location:** Greenwich, CT, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Systems, Information Engineering, Data Security, Python (Programming Language), SQL Databases, Systems Integration, Workflow Management Systems, Cloud Platform System, Sql Optimization, Snowflake, Infrastructure Automation Frameworks, Information Technology, Terraform, Data Pipelines
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/eb5c8b17-b524-4b8f-acf6-a232a1fd2803/data-engineer

## About the Role

* Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
\n

 * Minimum 3 years of data engineering experience, with 2 years focused on Snowflake.
\n

 * Proficiency in advanced SQL, Python, and Snowflake features like Streams, Tasks, and secure data sharing.
\n

 * Experience with data modeling methodologies and orchestration tools such as Airflow or Prefect.
\n

 * Familiarity with cloud infrastructure (AWS or Azure) and infrastructure-as-code tools like Terraform.
\n

 * Strong analytical and problem-solving skills with attention to detail and data accuracy.
\n

 * Preferred SnowPro Core or Advanced certification and experience with BI tools.
\n

 * Ability to work in a hybrid environment, balancing onsite and remote collaboration.
\n

## Description

This is a Data Engineer role focused on building and owning a cloud data platform, including ELT pipelines, data models, integrations, and reporting layers for financial data. The engineer will work heavily with Snowflake, SQL, and Python, while serving as a Snowflake SME and partnering with business and technology teams to ensure data is accurate, scalable, and reliable.