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# Data Engineer - Remote / Telecommute

- **Company:** CYNET SYSTEMS INC.
- **Location:** Cincinnati, OH, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, JIRA, Automation of Tests, Microsoft Azure, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Python (Programming Language), Performance Tuning, Power BI, DataOps, Azure Data Lake, SQL Databases, Azure Data Factory, Sql Optimization, Snowflake, Git, Semantic Modeling, Data Pipelines, Devsecops, Servicenow, Control M
- **Published:** October 2, 2026
- **Apply:** https://www.dice.com/job-detail/dc36a0cc-b826-4d4d-a704-5c36d08d5447

## About the Role

* 10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products.
 * Proven ability to work independently, manage technical risks and dependencies, and deliver committed outcomes with minimal supervision.
 * Strong problem-solving, communication, and stakeholder collaboration skills in a fast-paced global environment.
 * Demonstrated focus on automation, scalability, maintainability, and measurable business value.

Preferred Experience:

 * Power BI, semantic modeling, or analytics enablement.
 * Jira, Azure DevOps, ServiceNow, Control-M, or equivalent engineering and delivery tools.
 * AI-assisted development, agentic workflows, and modern data product architectures.
 * Commercial, customer, quality, field-service, or operational reporting data products.

## Description

* Design, develop, test, review, and support enterprise data pipelines using Snowflake, Azure Data Factory, Azure Data Lake Storage, SQL, and Python.
 * Build and optimize bronze, silver, and gold data products using scalable ETL/ELT, data modeling, orchestration, and data quality practices.
 * Translate business requirements into production-ready technical solutions, delivering from design through deployment and support.
 * Implement automated testing, CI/CD, DevSecOps, DataOps, monitoring, audit controls, and pipeline observability.
 * Troubleshoot UAT and Production issues, perform root-cause analysis, and implement sustainable fixes.
 * Create reusable engineering patterns and clear technical documentation while collaborating effectively in Agile teams with architects, product owners, engineers, and business stakeholders.
 * Utilize AI tools to design, code, build, and review production-grade pipelines using specifications.

Required Technical Skills:

 * Platforms: Snowflake, Azure Data Factory, Azure Data Lake Storage.
 * Engineering: Advanced SQL, Python, ETL/ELT, and pipeline orchestration.
 * Architecture: Data warehousing, dimensional modeling, and medallion architecture.
 * Operations: Performance tuning, data quality, observability, and production support.
 * Delivery: Git, CI/CD, and automated testing.


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