Design, build, and maintain scalable and reliable data pipelines.
Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code.
Work closely with product managers, data scientists, and software engineers to create and prepare datasets from disparate sources.
Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights.
Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.
This position is posted by Jobgether on behalf of a partner company.
Own the design, build, and optimization of end-to-end data pipelines. Establish and enforce best practices in data modeling, orchestration, and system reliability. Collaborate with stakeholders to translate requirements into robust, scalable data solutions.
YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B.
Design, build, and maintain a robust, self-service, scalable, and secure data platform. Create and edit data pipelines, considering business logic, levels of aggregation, and data quality. Enable teams to access and use data effectively through self-service tools and well-modeled datasets.
We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America, with a diversified portfolio of brands and solutions across different countries.
Work with data end-to-end, exploring, cleaning, and assembling large, complex datasets. Analyze raw data from multiple sources and identify trends and patterns, maintaining reliable data pipelines. Build analytics-ready outputs and models that enable self-service and trustworthy insights across the organization.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions for over two decades.
As a Senior Data Engineer, shape a scalable data platform that drives business insights. Design and maintain robust data pipelines and collaborate with cross-functional teams. Tackle complex data challenges, implement best practices, and mentor junior engineers.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
Partner with data scientists and stakeholders to translate business and ML/AI use cases into scalable data architectures.
Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large data.
Build and optimize data storage and processing systems using AWS services to enable efficient data retrieval and analysis.
ATPCO is the world's primary source for air fare content, holding over 200 million fares across 160 countries. They provide technology and data solutions to the travel industry, helping millions of travelers reach their destinations efficiently. ATPCO believes in flexibility, trust, and a culture where your wellbeing comes first.
Design and maintain data models that organize rich content into canonical structures optimized for product features, search, and retrieval.
Build high-reliability ETLs and streaming pipelines to process usage events, analytics data, behavioral signals, and application logs.
Develop data services that expose unified content to the application, such as metadata access APIs, indexing workflows, and retrieval-ready representations.
Udio's success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work.
As a key member of our Data Engineering team, you will: Collaborate with Data Science, Reporting, Analytics, and other engineering teams to build data pipelines, infrastructure, and tooling to support business initiatives. Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture. Collaborate with the team to meet performance, scalability, and reliability goals.
PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.
Collaborate with engineering, data science, ML, data engineering, and product analytics teams to understand and shape the future needs of our data platform and infrastructure.
Define, drive, and implement the future live ingestion layer of data into our data platform (e.g. Kafka, Kinesis).
Define and evolve standards for storage, compute, data management, provenance, and orchestration.
Inspiren offers the most complete and connected ecosystem in senior living.
Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines.
Ingest data from a multitude of sources and transform raw data into clean, structured, and AI/ML-ready formats.
Work closely with data scientists, machine learning engineers, and business analysts to understand their data needs.
Valtech exists to unlock a better way to experience the world by blending crafts, categories, and cultures, helping brands unlock new value in an increasingly digital world.
Responsible for the collection, extraction, transformation, and correlation of business data across the Subsplash platform.
Administer and tune data systems to optimize for performance.
Work with data warehousing/data lake environments to provide data marts for business analysis and intelligence.
Subsplash is an award-winning team that builds The Ultimate Engagement Platform™ for churches, Christian ministries, non-profits, and businesses around the world.