[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. GoML is a company focused on building modern Generative AI, AI/ML, and Data Engineering solutions. They are seeking a Senior Data Engineer to design and deliver scalable data pipelines and platforms, ensuring high-quality outcomes and effective data solutions for their clients.

Responsibilities

• Understand goML’s data engineering frameworks, delivery standards, and Azure architecture patterns
• Deep dive into ongoing client projects, data models, and ETL/ELT workflows
• Collaborate with stakeholders to understand business requirements and data challenges
• Review existing data pipelines and identify opportunities for improvement
• Lead the design and development of data solutions across client engagements
• Build and optimize Azure-based data pipelines using services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage (ADLS)
• Implement data transformation and orchestration workflows
• Apply best engineering practices including agile delivery, unit testing, and peer reviews
• Translate business requirements into clear technical designs and implementation plans
• Work closely with cross-functional teams to ensure smooth execution from development to deployment
• Create and maintain technical documentation, solution designs, and test plans
• Own end-to-end delivery of Azure-based data platforms for multiple clients
• Design scalable and flexible cloud-native data architectures aligned with evolving business needs
• Implement and optimize data lakehouse architectures using Azure Synapse or Databricks
• Drive deployment, user onboarding, and change management during project rollouts
• Ensure reliability, performance, security, and data quality across production systems
• Mentor junior engineers and influence data engineering best practices at goML

Skills

• 5–7 years of experience in data engineering, preferably in consulting or large-scale solution delivery
• Strong understanding of ETL/ELT processes, data warehousing, and data integration
• Proficiency in SQL / T-SQL and database development
• Hands-on experience with Azure data services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, ADLS, Azure SQL)
• Experience designing scalable, flexible data solutions driven by business requirements
• Experience with backend databases (e.g., SQL Server, Oracle) and/or ETL tools
• Familiarity with data modeling techniques (star/snowflake schemas)
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• Experience working with multiple client stakeholders and delivery teams
• Exposure to modern cloud-native data stacks and lakehouse architectures
• Familiarity with CI/CD practices for data pipelines (Azure DevOps, GitHub Actions)
• Experience with infrastructure-as-code (e.g., Terraform, ARM templates)
• Strong documentation and communication skills

Benefits

• Remote-first role with flexible collaboration
• Work on diverse client projects across industries
• High ownership and visibility in data platform delivery
• A culture driven by learning, ownership, and impact

Company Overview