[Remote] Data Engineer

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.ResponsibilitiesUnderstand goML’s data engineering frameworks, delivery standards, and Azure architecture patternsDeep dive into ongoing client projects, data models, and ETL/ELT workflowsCollaborate with stakeholders to understand business requirements and data challengesReview existing data pipelines and identify opportunities for improvementLead the design and development of data solutions across client engagementsBuild 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 workflowsApply best engineering practices including agile delivery, unit testing, and peer reviewsTranslate business requirements into clear technical designs and implementation plansWork closely with cross-functional teams to ensure smooth execution from development to deploymentCreate and maintain technical documentation, solution designs, and test plansOwn end-to-end delivery of Azure-based data platforms for multiple clientsDesign scalable and flexible cloud-native data architectures aligned with evolving business needsImplement and optimize data lakehouse architectures using Azure Synapse or DatabricksDrive deployment, user onboarding, and change management during project rolloutsEnsure reliability, performance, security, and data quality across production systemsMentor junior engineers and influence data engineering best practices at goMLSkills3–7 years of experience in data engineering, preferably in consulting or large-scale solution deliveryStrong understanding of ETL/ELT processes, data warehousing, and data integrationProficiency in SQL / T-SQL and database developmentHands-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 requirementsExperience with backend databases (e.g., SQL Server, Oracle) and/or ETL toolsFamiliarity with data modeling techniques (star/snowflake schemas)Bachelor's or Master's degree in Computer Science, Information Systems, or a related fieldExperience working with multiple client stakeholders and delivery teamsExposure to modern cloud-native data stacks and lakehouse architecturesFamiliarity 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 skillsBenefitsRemote-first role with flexible collaborationWork on diverse client projects across industriesHigh ownership and visibility in data platform deliveryA culture driven by learning, ownership, and impactCompany OverviewGoML 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/.