Note: The job is a remote job and is open to candidates in USA. goML is a company that builds modern Generative AI, AI/ML, and Data Engineering solutions for enterprises. They are seeking a Data Engineer to design and deliver scalable data pipelines and platforms, translating business needs into technical systems and ensuring high-quality outcomes.
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
- 3–7 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
GoML is an enterprise solutions provider in the data engineering, MLOps, and LLM Applications industries. It was founded in 2023, and is headquartered in New York, New York, USA, with a workforce of 51-200 employees. Its website is https://www.goml.io/.