Senior Data Engineer

** This is an opportunity to join our dynamic team of data professionals working together managing environments and implementing interesting projects for our clients. This position is fully remote (indefinitely). ** 

Emergent Software is seeking a Senior Data Engineer who is intelligent, passionate, detail-oriented, and enjoys working in Data Engineering using the Microsoft suite of data solutions. A qualified candidate possesses experience in leading data engineering teams and developing solution designs. This 100% remote position is for self-starters with good communication skills, strong work ethic, and the ability to manage work across numerous clients and priorities. This role requires a technical professional who thrives in dynamic environments, can wear multiple hats, and is passionate about designing, maintaining, and optimizing modern data platforms. 

Highlights & Benefits of working at Emergent Software 

• Work closely with other talented data professionals & software engineers. Our vetting process means you can count on your team members to know what they are talking about. 

• Work from home or work remotely from anywhere 

• Flexible work schedule meaning you can work regular hours or whenever you work best 

• Work-life balance is essential and highly valued at Emergent Software. If you choose to work more than 40 hours, you’ll be compensated for the extra work! 

• Work on interesting projects solving complex business problems with custom software. 

• 100 hours per year to focus on your professional development. We invest in your growth! 

• Grow your career without leaving the tech track. At Emergent Software, you can advance and be recognized as a technical expert without transitioning into people management. We value deep technical expertise as much as leadership and have established clear career paths for those who want to stay hands-on.  

• Profit sharing bonus means as we’re successful, you’re successful 

• Variable compensation opportunities for being part of on-call team rotation and performing client focused work outside of normal business hours 

• Excellent benefits package including medical insurance, dental, vision, 401(k) matching, FSA, disability, life insurance, and paid parental leave 

Responsibilities 

• Architect end-to-end data platforms on Azure, ensuring scalability, resilience, and future-proof design 

• Lead design reviews and architectural decisions for large or complex client data projects 

• Contribute to defining data engineering best practices, coding standards, and reusable frameworks across the team 

• Mentor and coach junior engineers on advanced Azure services, performance tuning, and cloud-native patterns 

• Collaborate with Data Architects to define data models, schemas, and integration patterns 

• Drive cloud cost optimization strategies, ensuring clients use the right services at the right scale 

• Evaluate and recommend new Azure tools and technologies for inclusion in Emergent Software’s offerings 

• Lead client advisory on data platform modernization, migration strategies (e.g., on-prem to Azure), and data engineering maturity 

• Contribute to thought leadership, such as blog posts, webinars, or speaking engagements on Azure data topics 

• Design, develop, and maintain data pipelines using Azure Data Factory, Synapse Pipelines, or Azure Batch 

• Build and optimize data storage layers (Azure OneLake, Azure SQL, Synapse Analytics) for structured, semi-structured, and unstructured data 

• Implement data transformation logic (ETL/ELT) using Spark, Python, SQL, or Azure Data Factory 

• Ensure data quality, validation, and lineage using tools like Azure Purview and integrate with governance frameworks 

• Collaborate with BI teams to prepare curated data models and tables for reporting in Power BI or downstream systems 

• Manage data security, privacy, and compliance (RBAC, encryption, sensitive data masking) across Azure services 

• Monitor and optimize pipeline performance and cost efficiency using Azure Monitor and cost management tools 

• Develop and maintain CI/CD pipelines for data projects using Azure DevOps