Top Data & Analytics Jobs

Founding technical leader for the data platform: build and operate ingestion, enrichment, batch and realtime pipelines; design storage, modeling, and governance; integrate LLM/ML workflows and vector search; hire and lead a small data team; and collaborate with engineering, product, and leadership to productionize data for valuations, analytics, and APIs.

As a Senior Data Engineer, you will design, build, and scale data pipelines and analytics capabilities, focusing on data modeling, ingestion, and automation using Python and PySpark in a healthcare context.

Supporting Regulatory Reporting in the capital markets sector, focusing on Axiom SL implementation and integration with Hadoop as a data repository.

Design, develop, and maintain AxiomSL data sources, mappings, and regulatory reports. Build scalable data pipelines, perform advanced SQL transformations, ensure data lineage and reconciliation, support audits and production L2/L3 operations, and drive automation and platform upgrades to meet regulatory requirements.

Lead design and delivery of scalable data integration, storage, and infrastructure to enable analytics and AI. Build ETL/ELT pipelines, cloud-native data systems, IaC and CI/CD, ensure SRE practices (SLOs/SLIs), prototype end-to-end solutions, and drive architectural trade-offs while collaborating across teams to transition validated solutions to platform engineering.

In this role, you will design and lead data initiatives for Snowflake's internal data platform, ensuring data governance, adopting AI workflows, and enforcing technical standards for data management while collaborating across teams.

As a Senior Data Analytics Engineer, you will design Snowflake's internal data platform, lead data initiatives, enforce governance policies, integrate AI tools, and resolve data issues, ensuring optimal data flow and access across key functions.

The Senior Data Engineer will design and implement complex data models, collaborate on data governance, lead data initiatives, and mentor team members.

Own and evolve the data platform by leading architectural evolution, collaborating with teams for strategic data initiatives, and ensuring reliable data systems.

Build and operate data pipelines for research training data, collaborate with researchers to develop APIs and tooling for data management and analysis, and embed with teams to enhance workflows and solutions.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

The role involves owning data science pipelines, delivering client-facing features, driving cross-functional collaboration, and leveraging AI tools to enhance workflows, ultimately transforming retail data into actionable insights.

As the Lead Data Engineer, you'll guide the Customer Identity team, focusing on improving customer recognition systems, implementing quality KPIs, and mentoring engineers.

The Data Integration & Pipeline Engineer will build and maintain ETL/ELT pipelines, ensuring efficient data flow, quality, and performance across platforms.

The Data Platform & Analytics Engineer builds and maintains a Snowflake data platform, implements MDM processes, and ensures data quality for AI/ML use.

The Sr. Data Platform Support Engineer manages enterprise data platform applications, ensuring stability, performance, and integration, while driving automation and optimizing processes.

The Senior Data Engineer collaborates with clients to address their data needs, leads analytics and visualization projects, develops dashboards, and enhances data solutions. Responsible for SQL and NoSQL database projects, and supports the Department of Justice's mission-critical operations.

The Data Engineer will design and maintain scalable data pipelines, automate workflows, and enhance data governance while collaborating with cross-functional teams.

The Data Solutions Engineer develops and manages the firm's data platforms, ensuring data quality, designing data pipelines, collaborating with teams, and implementing data security while supporting digital transformation initiatives.

The Lead Data Engineer designs and oversees data systems to facilitate data-driven decisions, collaborating with teams to build scalable data infrastructure and tools.

The Senior Data Engineer will create AWS-based data pipelines, ensuring data quality and a single source of truth while collaborating in an agile environment.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

The role involves building and owning data pipelines, maintaining data quality, and creating reporting systems that provide insights to various teams. The candidate will also design AI-ready data infrastructure.

The Lead Data Platform Engineer will design and build Virtuous's data platform, ensuring it is secure, scalable, and AI-ready. Responsibilities include architecting access controls, optimizing performance, and enabling self-service analytics while maintaining governance and compliance standards.

The Senior Data Engineer will design and scale cloud-based data platforms, ensuring quality and performance while collaborating with cross-functional teams to deliver actionable data solutions.