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# Data Engineer

- **Company:** Green Key Resources
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon S3, Data Analysis, Business Logic, Microsoft Azure, Data as a Services, Data Warehousing, Design of User Interfaces, Identity and Access Management, Python (Programming Language), Power BI, Azure Active Directory, Standard Sql, Software Engineering, Systems Integration, Workflow Management Systems, File Transfer Protocol (FTP), Azure Data Factory, Sql Optimization, Large Language Models, Snowflake, Backend, Data Management, Tools for Reporting, Functional Programming, Data Pipelines, Databricks
- **Published:** October 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/6d82fbf7-4a8e-498c-9129-ed6c2c7977fc/senior-data-engineer

## About the Role

* Minimum of 6 years of overall relevant technical experience, required
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 * Experience in data engineering, platform engineering, or backend-focused software engineering roles, required
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 * Strong hands-on experience designing and operating solutions in Snowflake and/or Databricks (or comparable modern cloud data warehouse/lakehouse platforms)
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 * Experience building and deploying data platforms in Azure and/or AWS cloud environments
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 * Strong experience writing and optimizing SQL for analytical and financial datasets
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 * Hands-on experience with dbt for transformation management, testing, and modular model development
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 * Experience developing and supporting Airflow-based orchestration pipelines (or equivalent), including workflow design and monitoring
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 * Experience building and maintaining enterprise-grade data pipelines across ingestion, transformation, and presentation layers
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 * Experience integrating enterprise systems via APIs, file-based transfers (SFTP), or event-driven workflows
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 * Exposure to financial services, alternative asset management, or credit products strongly preferred
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 * Experience collaborating with offshore or distributed engineering teams preferred
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 * Experience supporting reporting and BI environments (e.g., Power BI), including building reporting-friendly data models and optimizing warehouse performance for analytics workloads
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 * Python experience for pipeline tooling, automation, and integration services
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 * Experience with Azure services (e.g., Azure Data Factory, Azure Storage, Azure AD) and/or AWS services (e.g., S3, IAM, Lambda, ECS)
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 * Experience building or supporting data services consumed by applications
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 * Exposure to applied AI or LLM-enabled workflows in a production setting
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 * Familiarity with Power BI or comparable BI/reporting tools and semantic modeling concepts
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 * Strong SQL and analytical data modeling skills

## Description

This role is primarily focused on data engineering, transformation frameworks, orchestration, and system integrations. While the team builds applications on top of their platform, dedicated application engineering resources lead full-stack UI development. This position will focus on building and maintaining reliable data pipelines, implementing business logic, and supporting scalable data solutions that power those applications., The ideal candidate has strong hands-on experience with modern cloud data platforms (Snowflake and/or Databricks), transformation tooling (dbt), and orchestration frameworks (Airflow or similar). This individual works effectively in a business-aligned environment, partnering with investment and operations teams to deliver secure and scalable data solutions.