Top Analytics Engineer Jobs

Develop, maintain, and productionize reproducible, scalable analytical workflows and tools for bulk and single-cell transcriptomic and epigenetic data. Collaborate with computational scientists to convert analyses into reusable components, integrate multimodal data formats, and provide interfaces for scientists and downstream systems.

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.

Lead design and development of a scalable, cloud-native accounting and analytics engine on AWS. Provide technical leadership, mentor engineers, drive architecture and best practices, build developer automation, ensure observability and high availability, and collaborate across product teams to deliver secure, high-performance production systems.

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.

The Senior Data Engineer defines technical approaches for client projects, evaluates modeling strategies, and conducts internal R&D in applied machine learning and analytics, with a strong emphasis on Python-based solutions and mentorship of junior engineers.

The Software Engineer (Analytics) is responsible for developing scripts, utilizing frameworks for data analysis, and working with various technologies while ensuring TS/SCI clearance with polygraph is maintained.

Design and build a next-generation performance and analytics platform using OLAP/columnar technologies and cloud-native services. Work across the full software lifecycle to optimize analytical queries, implement developer automation and automated tests, and collaborate with design and strategy to deliver scalable, high-performance investment analytics.

Lead design and implementation of a next-generation performance and analytics platform. Build cloud-native services on AWS/Azure/GCP, optimize OLAP/columnar queries, model analytical data, enable large-scale analytics, and create developer automation and tests. Collaborate across design, strategy, and engineering to deliver scalable, production-grade solutions for investment performance and attribution reporting.

Lead design and maintenance of scalable data models, pipelines, and an enterprise semantic layer using Snowflake, DBT, Airflow, and Hackolade. Ensure data quality and governance, collaborate cross-functionally, and mentor junior analytics contributors to deliver production-grade datasets for BI, AI, and data products.

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.

Operate, maintain, and repair automated low- and ultra-low-temperature biobanks; manage sample handling and inventory; develop preventative maintenance schedules; monitor and analyze equipment performance; collaborate with sample management, IT, facilities, and vendors; propose automation and data-integration improvements; train staff and support troubleshooting.

Integrate AI capabilities into systems, optimize performance, manage cloud services, and deploy AI models while collaborating with cross-functional teams.

Lead analytics engineering for enterprise-grade dimensional models, governance, and semantic layers. Drive cross-team initiatives, Snowflake and Sigma administration, dbt project architecture, observability, and AI/agent enablement while mentoring engineers and establishing operational guardrails.

The Principal Engineer will lead the architecture and implementation of AI-powered systems for data analytics, collaborating with teams to create closed-loop systems and driving engineering excellence while measuring business outcomes.

As an Analytics Engineer, you'll build foundational data infrastructure for GTM, design data marts, establish metric governance, enable AI insights, and collaborate across teams for scalable analytics.

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

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.

The Enterprise Analytics Data Engineer II will build data pipelines, optimize data platforms, ensure data quality, and collaborate with teams to create actionable insights from healthcare data.

As a Senior Analytics Engineer, you will build and maintain the analytics infrastructure, including data models and dashboards, to derive insights and support cross-functional teams, ensuring 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.