Data Engineer - Remote / Telecommute

• 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.

• 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.

Our Benefits Include:

• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.