Top Remote Analytics Engineer Jobs

The Analytics Engineer will build data models and pipelines, ensure data quality, and enable self-service analytics across the organization.

Design and implement dimensional and relational data models, build and maintain dbt transformation pipelines, ensure data quality and monitoring, collaborate with analysts and data scientists, define data contracts with engineers, establish analytics engineering best practices, and enable self-service analytics for stakeholders.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

Design, build, and maintain ELT pipelines and analytics-ready data models to support reporting, KPIs, and downstream ML use cases; implement data quality, optimize pipeline performance, document lineage, and ensure governance and privacy.

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

The Senior Software Engineer will design, build, and maintain data platforms within the EDW, collaborating on architectural patterns and guiding junior engineers while focusing on performance and cost efficiency.

The Senior Analytics Engineer collaborates with product managers and data teams to develop analysis tools, metrics, and frameworks that enhance media production efficiency and strategy at Netflix.

Architect, build, and maintain scalable ELT data pipelines and analytics-ready data marts. Lead dbt modeling, ensure data quality, CI/CD, and documentation. Partner with stakeholders, mentor junior engineers, evaluate tooling (reverse ETL), and drive long-term data platform strategy.

Design, build, and maintain dbt-based analytics-ready data models and curated data marts powering a PBM financial risk engine. Onboard and optimize claims, pricing, contract, and utilization data, implement data quality controls, support forecasting and risk metrics, and enable advanced analytics and ML operationalization for finance and underwriting stakeholders.

Lead design and optimization of analytics products and Tableau dashboards, manage and tune reporting data pipelines (Redshift/ETL), implement performance best practices, collaborate cross-functionally, and drive automation and AI opportunities to improve reporting and analytics for healthcare customers.

The Senior Analytics Engineer will create scalable data systems, ensure data quality, support cross-functional teams, and communicate insights effectively.

As a Senior Analytics Engineer, you will create business intelligence tools using SQL and dbt, develop dashboards, and collaborate with teams to improve data-driven decision-making.

The Senior Analytics Engineer will design and build datasets, optimize data modeling, mentor teams, and collaborate on data accessibility across Khan Academy.

As a Senior Software Engineer on the Graph Analytics team, you'll design and implement algorithms for analyzing cryptocurrency transaction networks and collaborate with data scientists and engineers to enhance risk models.

The Senior Data Engineer will design and implement scalable graph systems for analyzing cryptocurrency transactions, collaborating closely with cross-functional teams to build algorithms and integrating diverse data inputs while communicating effectively with both technical and non-technical stakeholders.

As a Senior Analytics Engineer, you will design metrics, perform deep-dive analyses, and automate reporting while collaborating with partner teams.

As a Senior Analytics Engineer, you will design data pipelines, develop user-friendly dashboards, and provide insights to help improve healthcare delivery.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.

Design and maintain ETL/ELT pipelines for data, optimize workflows for analytics and machine learning, and ensure data quality and governance.

As a Senior Software Engineer at AdQuick, you will develop data-intensive analytics systems, manage data pipelines, and create visualizations to drive insights for OOH advertising.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

Technical leader building scalable data pipelines, analytics infrastructure, and APIs. Own architecture, optimize large-scale query performance, mentor engineers, and partner with product and integration teams to deliver real-time and historical analytics.

The Senior Analytics Engineer will build and maintain data infrastructure, support analytics projects, analyze user behavior, and enable self-service analytics across teams.

The Senior Data Engineer will develop and maintain data integration solutions and pipelines, optimize data warehouses, and ensure data quality and integrity while collaborating with cross-functional teams.