Assist in designing, developing, and maintaining analytical reporting ETL pipelines and front-end dashboards using SQL, Python, Snowflake, and pipeline management tools.
Contribute to QA and UAT protocols, proactively identify and resolve data quality issues, and support training for data users.
Collaborate on advanced analytics prototypes to drive strategic initiatives and maintain documentation for scalability.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing world-class content across film, television, streaming, and theme parks. As a subsidiary of Comcast Corporation, it employs thousands globally and champions an inclusive culture with a rich tradition of community giving.
Design and develop enterprise data models and Snowflake architectures to support insurance analytics and business intelligence.
Collaborate with cross-functional teams to modernize data ecosystems and implement ELT/ETL pipelines using AWS and Medallion architecture.
Integrate Guidewire data across PolicyCenter, ClaimCenter, and BillingCenter to ensure high-quality, governed data assets.
This company provides data modeling and engineering solutions for the Property & Casualty insurance industry, specializing in cloud-based data platforms. It fosters a collaborative and inclusive culture with a focus on remote work and professional growth.
Define the technical strategy and roadmap for credit risk and fraud detection using statistical and ML approaches.
Design, build, and deploy production-quality machine learning models for credit scoring, fraud detection, and risk modeling.
Collaborate closely with Engineering, Product, Risk, and Operations teams to align data science strategy with business goals.
Djamo builds the future of banking in Africa with a super-app that combines payments, transfers, savings, and budgeting. Launched in 2020, the company serves over one million users and is backed by investors like Y Combinator and Partech, fostering a culture of innovation and inclusion.
Collect, clean, and interpret data to support business decisions and product optimization.
Develop Python scripts and SQL queries to automate data processing, reporting, and analytics workflows.
Collaborate with Product, Engineering, and Business teams to deliver analytics projects on schedule and document methodologies.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. With over 300 million users across 100+ countries, we offer a fast-paced, user-centric culture with a flat structure and opportunities for growth.
Lead the design and implementation of robust data platforms using Azure Data Stack, including Microsoft Fabric, Azure SQL, and Power BI, to enable data-driven decision-making.
Architect scalable data models, ETL/ELT pipelines, and analytics layers, ensuring data governance, security, and compliance with retention policies.
Mentor junior team members, perform code reviews, and drive adoption of AI-assisted data engineering tools and practices.
3Pillar is an AI transformation partner that builds AI-native products and intelligent agents for enterprises, working with leading companies in financial services, healthcare, media, and technology. With teams across North America, Europe, Latin America, and Asia, they foster a global, remote-first culture focused on innovation and collaboration.
Optimize data and design visualizations using SQL programming and ETL to analyze data.
Promote collaborative communication within the project management framework to guide stakeholders.
Recommend solutions based on cloud platform experience with AWS or Azure and data platforms.
Dwolla, Inc. builds a platform for optimizing data and designing visualizations to improve payment processes and services. As a company, it focuses on collaborative project management and cloud-based solutions, with a remote-friendly culture.
Design and build infrastructure for optimal extraction, transformation, and loading of data using cloud services and SQL.
Develop, maintain, and optimize mission-critical data pipelines to ensure continuous flow of high-quality data.
Collaborate with cross-functional teams to understand requirements and deliver integrated end-to-end data solutions.
This company specializes in data engineering and AI/ML, building robust systems for data flow and accessibility. The team is dedicated to designing and maintaining scalable infrastructure to drive data-driven innovation.
Acquire, clean, and preprocess diverse datasets; build infrastructure for ETL using cloud services and SQL.
Develop data migration strategies and schemas; optimize databases for efficient querying.
Perform exploratory data analysis and create visualizations to communicate findings.
Our Data Engineering & AI/ML team designs and maintains robust data systems, constructing and optimizing data pipelines and storage solutions. Our skilled professionals specialize in data engineering, database management, and infrastructure architecture.
Lead development and deployment of machine learning models, statistical analyses, and data experiments for predictive maintenance and logistics optimization.
Oversee data collection, ETL pipelines, and exploratory data analysis to drive product development.
Collaborate with multi-functional teams in an Agile environment to integrate models into applications and monitor performance.
Redhorse Corporation delivers data insights and technology solutions to customers with missions critical to U.S. national interests. The company is a solution-driven firm seeking thoughtful, skilled professionals who thrive as trusted partners in a collaborative culture.
Drive platform strategy and architecture for the Enterprise Data Platform using Snowflake, dbt, and Matillion.
Embed AI into data analytics by designing pipelines and RAG systems to transition teams into AI-ready units.
Enable self-service and mesh architecture while implementing robust governance and observability frameworks.
Zscaler accelerates digital transformation by providing cloud-native security solutions that protect customers from cyberattacks and data loss. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, with a focus on high-impact work.