Senior Data Analytics Engineer - Data Insights in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analytics Engineer - Data Insights based in the United States.

This role is focused on building and scaling a trusted, company-wide data foundation that enables high-quality decision-making across all business functions.
The position plays a central role in transforming raw data into reliable, structured, and actionable insights using modern data engineering and analytics practices.
It involves designing and maintaining scalable data models, metrics layers, and analytical datasets within a cloud-based data warehouse environment.
The role collaborates closely with data engineers, analysts, and business stakeholders to define consistent KPIs and ensure data accuracy and usability.
It requires strong technical expertise combined with a product-minded approach to analytics, enabling self-service reporting and experimentation at scale.
This is a high-impact opportunity within a fast-moving remote organization where data directly influences strategic decisions.

• Design, build, and maintain scalable data models, transformations, and pipelines using modern analytics engineering practices in cloud data warehouse environments.
• Develop and standardize core business metrics and dimensions to enable consistent, self-service analytics across the organization.
• Partner with cross-functional stakeholders to understand decision-making needs and translate them into reliable analytical data products.
• Implement and optimize data transformations using tools such as dbt, ensuring high data quality, performance, and maintainability.
• Build and evolve semantic layers and KPI frameworks that support dashboards, reporting, experimentation, and advanced analytics use cases.
• Define best practices for data modeling, metric definitions, and analytics engineering standards across teams.
• Collaborate with data engineering, analytics, and business teams to support end-to-end delivery of data-driven solutions.

• 5+ years of experience in data analytics engineering, data modeling, BI engineering, or similar roles.
• Strong expertise in SQL, with experience in data modeling, query optimization, and working with large-scale datasets.
• 3+ years of experience with Python and dbt for data transformation and analytics engineering workflows.
• Deep understanding of modern data warehousing concepts and cloud data platforms such as Snowflake or similar.
• Experience building metrics layers, semantic models, and self-service analytics environments.
• Strong analytical and problem-solving skills with the ability to manage multiple complex data projects.
• Excellent communication and documentation skills, with the ability to explain technical concepts to non-technical audiences.
• Experience working in remote, cross-functional environments with strong ownership and autonomy.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and source control tools such as Git is a plus.
• Experience with semi-structured data formats (e.g., JSON) and BI tools is preferred.

• Competitive compensation package with potential equity participation.
• Unlimited paid time off and paid company holidays.
• Fully covered medical insurance, with additional dental and vision coverage.
• Comprehensive health, life, disability, and wellness benefits.
• Monthly remote work stipend and equipment support.
• 401(k) retirement plan with company matching.
• Paid volunteer days to support community and CSR initiatives.
• Learning and development programs through dedicated internal platforms.
• Flexible remote work environment with optional access to office locations in major U.S. cities.