Top Analytics Engineer Jobs

Lead architecture, strategy, and hands-on execution for Faire's data platform. Build and scale secure, cost-efficient data ingestion, ETL/ELT, warehousing, orchestration, monitoring, and governance. Mentor engineers, influence cross-team priorities, and drive performance and cost optimization for analytics and data products.

The Senior Business Intelligence Engineer will design and deliver executive-grade BI analytics, leading discovery conversations and ensuring accuracy and clarity in deliverables for executive stakeholders.

The Analytics Engineer will design and build self-serve data products, oversee the data lifecycle, ensure data quality, and integrate third-party data sources while leveraging AI tools for improved analysis.

Design and develop video analytics services using AI technologies, manage the software lifecycle, and optimize performance in various environments.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

The Support Solutions Engineer is responsible for monitoring and resolving customer requests, automating support needs, and improving support tools while advocating for customer experiences in data platform infrastructure.

The Senior Data Engineer will design and build AI capabilities, manage data pipelines, and lead engineering practices while mentoring team members in a fast-paced environment.

As an Analytics Data Engineer, you'll build data pipelines, develop dashboards, and collaborate with teams to transform data into insights. You'll ensure data integrity and drive self-service analytics across the organization.

The Data Engineer will build and maintain the data pipeline, manage data quality, and enable self-serve analytics for various departments. Responsibilities include designing schemas, ingesting data, and collaborating with stakeholders to create and scale the data platform.

Design, build, and optimize scalable data processing systems and pipelines. Create complex database queries, perform data migration/preparation/modeling and indexing for analytics, mentor junior developers, collaborate with cross-functional teams, and engage with clients to gather requirements and present solutions.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.

Design, develop, and maintain large-scale data architectures and pipelines; deploy cloud-native data applications and CI/CD; support ML model productization; enforce code hygiene and best practices; mentor junior engineers; produce documentation and runbooks; collaborate with consulting teams and clients and travel as required.

As a Senior Analytics Engineer, you'll build scalable data infrastructures, enable data-driven decisions, and collaborate with teams to enhance user engagement and learning outcomes.

Lead the design and scaling of Serve's robotics data infrastructure, managing the lifecycle of data and mentoring engineers to enable real-time analytics and operations.

The Senior Data Engineer will build analytics-driven data platforms for EDA datacenters, transforming observability data into usable datasets for analysis and insights, collaborating with cross-functional teams, and ensuring data quality and scalability.

The Data Engineer II will build and maintain data pipelines, working with various data formats and cloud technologies to support accounting needs.

Build and own an internal Finance Analytics discoverability and data management web platform. Deliver end-to-end full‑stack features (UI, APIs, data workflows), enable conversational AI reporting alongside BI dashboards, implement secure identity integration and audit trails, create CRUD and bulk-data workflows with validations and rollback, partner with data engineering and IT/security, and establish engineering standards (testing, CI/CD, observability).

The Senior Analytics & Insights Engineer develops scalable data solutions and tools, translating business needs into user-friendly dashboards to provide insights and improve decision-making across Sales and Finance teams.

The Senior Analytics Engineer will build and optimize data infrastructure to drive data-driven decision-making, creating actionable insights for therapy and business teams.

The Senior Analytics Engineer will architect and maintain regulatory data marts, translate regulatory requirements into data flows, support ad-hoc inquiries, implement quality controls, and document processes to ensure compliance.

The Senior Analytics Engineer will lead data model development, support AI tools, maintain data architectures, and deliver analytics to drive strategic insights.

You will provide expertise in multi-asset class risk analytics, support sales efforts by demoing products, and enhance solutions based on client feedback.

The Senior Analytics Engineer will architect, develop, and optimize analytics infrastructure, ensuring data insights drive business decisions while maintaining security standards.

Design, build, and maintain scalable finance-focused data pipelines and models; ensure data quality, manage migrations to modern stacks, monitor loads, troubleshoot issues, and collaborate with global teams and vendors to support reporting and analytics.

As a Senior Analytics Engineer at Wave, you will enhance data reliability and accessibility while optimizing analytics tools and managing ETL pipelines.