Cloud Data Engineer, Robert Half

Robert Half

Location:
United States, Washington D.C.

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a customer-focused Cloud Data Engineer to join a dynamic team of subject matter experts and developers. This role involves designing and implementing full lifecycle data pipeline services for Azure-based data lake, SQL, and NoSQL data stores. The ideal candidate will be mission-driven, delivery-oriented, and skilled in translating business requirements into scalable data engineering solutions.

Job Responsibility:

Maintain and operate legacy ETL processes using Microsoft SSIS, PowerShell, SQL procedures, SSAS, and .NET
Develop and manage full lifecycle Azure cloud-native data pipelines
Collaborate with stakeholders to understand data requirements and deliver effective solutions
Design and implement data models and pipelines for various data architectures including relational, dimensional, lakehouse (medallion), warehouse, and mart
Utilize Azure services such as Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, and SQL
Migrate existing SSIS ETL scripts to Azure Data Factory and Synapse Pipelines
Prepare data for advanced analytics, visualization, reporting, and AI/ML applications
Ensure data integrity, quality, metadata management, and security across pipelines
Monitor and troubleshoot data issues to maintain performance and availability
Implement governance, CI/CD, and monitoring for automated platform operations
Participate in Agile DevOps processes and continuous learning initiatives
Maintain strict versioning and configuration control

Requirements:

Bachelor's degree in Computer Science or related field with 8+ years of experience, or Master's degree with 6+ years
Minimum 4 years of experience in ETL development using Microsoft SSIS, SQL, SQL Agent, and scripting (PowerShell)
Proficiency in scripting languages such as SQL, T-SQL, Python, and PySpark
Experience with Microsoft SQL Server and BI tools including SSIS, SSRS, SSAS (cubes)
Hands-on experience with Azure cloud services including Data Lake, Synapse, and Data Factory
Strong understanding of data engineering principles and cloud-native architectures

Nice to have:

Experience with data lakehouse architecture and medallion design
Familiarity with Agile methodologies and DevOps practices
Knowledge of data governance and security best practices

What we offer:

Medical, vision, dental, and life and disability insurance
401(k) plan
Free online training
Competitive compensation

Additional Information:

Job Posted:
October 23, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Cloud Data Engineer