Fractal River

Data Engineer

• Help design and implement data pipelines and analytic infrastructures with the latest technologies.
• Create and deploy AI tools and agentic infrastructure to enhance both client and internal capabilities.
• Build data warehouses using tools like dbt, working with platforms such as Snowflake, Redshift, and BigQuery.
• Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities.
• Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms.
• Leverage APIs from multiple systems to extract and update data, trigger and monitor processes, and in general help tie our customers’ infrastructures into cohesive platforms that power their growth.
• Maintain and oversee cloud infrastructure to ensure it runs with the reliability and performance our customers expect.
• Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers.
• Develop technical documentation and best practices for our customers.
• Drive internal improvement initiatives by identifying opportunities for efficiency gains, discovering new best practices, and proposing internal projects that enhance our capabilities and processes.
• Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve.
• Coordinate projects, activities, and tasks to ensure objectives and key results are met.
• Identify opportunities, generate innovative solutions, and improve existing product features.

• Help design and implement data pipelines and analytic infrastructures with the latest technologies.
• Create and deploy AI tools and agentic infrastructure to enhance both client and internal capabilities.
• Build data warehouses using tools like dbt, working with platforms such as Snowflake, Redshift, and BigQuery.
• Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities.
• Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms.
• Leverage APIs from multiple systems to extract and update data, trigger and monitor processes.
• Maintain and oversee cloud infrastructure to ensure it runs with reliability and performance.
• Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers.
• Develop technical documentation and best practices for our customers.
• Drive internal improvement initiatives by identifying efficiency gains and proposing internal projects.
• Contribute to our evolving DevOps and DataOps practices.
• Coordinate projects, activities, and tasks to ensure objectives and key results are met.

Data Engineer

Software Engineer, Data Engineer