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Software Development III- Cloud Data Engineer

Equiliem
United States, D.C., Washington
Oct 16, 2025

Job Summary

The Cloud Data Engineer will design, implement, and maintain full lifecycle data pipeline solutions within Microsoft Azure, supporting enterprise-scale data analytics and reporting platforms. This role involves translating business requirements into data engineering solutions across Azure Data Lake, SQL, and NoSQL environments. The engineer will also maintain legacy SQL Server ETL operations while transitioning these systems to modern, cloud-native architectures. The ideal candidate demonstrates strong analytical skills, a customer-focused mindset, and a commitment to innovation and mission delivery.

Job Responsibilities




  • Develop, maintain, and operate legacy ETL processes using Microsoft SSIS, SQL Server, SQL Agent, PowerShell, .NET, and SSAS



  • Design and implement full lifecycle Azure data pipelines and related cloud-native solutions



  • Collaborate with stakeholders to analyze data requirements and develop scalable, high-performance data solutions



  • Design and implement data models and pipelines for relational, dimensional, data lakehouse, data warehouse, and data mart environments



  • Utilize Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, and SQL to build and optimize pipelines



  • Redevelop existing SSIS ETL processes using Azure Data Factory and Synapse Pipelines



  • Prepare and manage data for analytics, reporting, visualization, and AI/ML applications



  • Ensure data quality, integrity, and security through effective governance, metadata management, and monitoring practices



  • Implement automated deployment, monitoring, and configuration control processes to support DevOps principles



  • Troubleshoot data pipeline issues and ensure high system availability and performance



  • Participate in Agile development activities and continuous learning initiatives




Job Requirements




  • Bachelor's degree in Computer Science or a related field and at least 8 years of relevant experience, or a Master's degree with a minimum of 6 years of experience



  • Minimum 4 years of experience developing and maintaining ETL processes using Microsoft SSIS, SQL, SQL Agent, and scripting languages such as PowerShell



  • Minimum 4 years of experience with one or more of the following: SQL, T-SQL, Python, or PySpark



  • Proven experience working with Microsoft database and business intelligence tools including SQL Server, SSRS, SSAS (cubes), and PowerShell scripting



  • Experience designing and building ETL or data engineering solutions using Azure Data Lake Services, Azure Synapse Analytics, or similar cloud services



  • Strong understanding of data governance, data migration, data integrity, and data security practices



  • Excellent problem-solving, analytical, and communication skills



  • Ability to work effectively both independently and within a collaborative team environment




Additional Job Details




  • Remote position with occasional travel to the Washington, D.C. metro area as needed



  • Public Trust clearance required (candidates may begin with clearance pending)



  • Active engagement in Agile DevOps processes and continuous professional development expected



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