Full Stack Data Engineer

Odesus, Inc. is seeking a skilled Data Engineer to support data engineering execution across complex application development initiatives. The role involves collaborating with engineering teams to design and build data models, maintain SQL Server databases, and develop new data pipelines while ensuring data quality and performance standards are met.

Responsibilities:

• Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards
• Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs
• Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures
• Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads
• Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team
• You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle

Requirements:

• BS in Computer Science and a minimum of five years of experience delivering production solutions
• Minimum 5+ years working in Data Science
• Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards
• Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs
• Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures
• Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads
• Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team
• Use software development skills in an agile environment to develop new data pipelines, APIs, and data management tools
• Experience maintaining projects using a distributed version control system such as Git and GitHub
• Experience in automated pipeline deployment and schemas into production environments
• Experienced with agile methods and the concepts behind continuous delivery
• Passionate about database modeling, stored procedure writing, pipelines, and APIs
• Experience with security, testing, performance, JSON, and REST
• Strong verbal and written skills
• Attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized
• Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric
• Python, working proficiency for scripting, automation, and data pipeline support is a plus