Technical Lead – Cloud Data Engineering
Washington, DC
Experience: 9
Education: BA
Category: Information Technology
Contractor Work Model: Remote
Brand: System One
Compensation Range: 74.00 - 90.00 Per Hour
Job ID: 348051
Date Posted: 03/26/2026
Shortcut: http://jobs.systemone.com/GbHgTi
Job Title: Technical Lead – Cloud Data Engineering
Location: Remote (with occassional travel to Washington DC metro area)
Type: Contract
Compensation: $74.00 - $90.00 per hour
Security Clearance: Ability to obtain or maintain a Public Trust clearance, US Citizenship required
Responsibilities:
- Lead a team of developers in designing and implementing data engineering solutions for Azure Cloud-based Data Lake, SQL, and NoSQL data stores.
- Work directly with end users to translate business requirements into scalable cloud data solutions supporting enterprise analytics and reporting platforms.
- Develop, deliver, and maintain ETL/ELT/data pipelines, data extracts, and API-based data delivery using Azure Data Lake Storage Gen2, Azure Data Factory, Synapse Pipelines, and other Azure services.
- Ensure legacy EDW development and operations using Microsoft SQL Server, SSIS, SSRS, SSAS, PowerShell, and related technologies continue effectively during migration to the Azure Cloud platform.
- Define and validate ETL performance testing, compare workloads against legacy baselines, and optimize throughput for scalable cloud performance.
- Collaborate with IT infrastructure, DevOps, Data Engineers, Modelers, and Architects to optimize pipelines, troubleshoot issues, and tune system performance.
- Design and support data models and pipelines for relational, dimensional, Lakehouse, data warehouse, data mart, SQL, and NoSQL data stores.
- Prepare data for advanced analytics, visualization, reporting, and AI/ML applications.
- Implement data migration, related data integrity, security, quality, and metadata management functions.
- Monitor data systems, troubleshoot issues, and ensure high availability and performance of data platforms.
- Support Agile DevOps practices, including program increment planning, configuration management, automation, and continuous learning.
- Bachelor's degree in Computer Science or related field
- Minimum of 9 years of experience supporting enterprise data warehousing and cloud data solutions
- At least 5 years of leading a team supporting enterprise data warehouses using Microsoft data solutions
- Proven client engagement experience providing data engineering and reporting solutions
- Strong experience in ETL performance testing, using tools like Azure Monitor, Log Analytics, Spark UI, and Ganglia
- Extensive experience with Microsoft SQL Server, SSIS, SSRS, SSAS, and scripting languages such as SQL, T-SQL, Python, PowerShell in cloud environments
- Experience designing and building ETL/data engineering solutions utilizing Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, and related cloud services
- Knowledge of data management best practices, including change management, QA, performance tuning, and security
- Experience working in Agile projects with cross-functional teams
- Strong attention to detail, multi-tasking skills, and ability to support multiple projects
- Additional preferred skills include experience in law, HR, financial management, inventory, or federal projects, and Azure DevOps or Microsoft certifications in Azure fundamentals, data engineering, AI, or analytics.
System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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