Source Job

• 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.

• 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, build, and maintain scalable, high-quality data pipelines.
• Implement robust data ingestion, transformation, and storage using cloud-based technologies.
• Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.

CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they have partnerships with more than 1,000 clients and value diversity, fostering a diverse, inclusive, and safe work environment.

• 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.

• Develop data models and pipelines for customer-facing applications, research, reporting and machine learning.
• Optimize data models to support efficient data storage and retrieval processes for performance and scalability.
• Optimize ETL processes for ingesting, processing and transforming large volumes of structured and unstructured data into our data ecosystem.

Inspiren offers the most complete and connected ecosystem in senior living bringing peace of mind to residents, families, and staff.

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, develop, and manage modern, scalable data solutions across federal and commercial environments. Build robust data pipelines, integrate data across multiple sources, and ensure high-quality, reliable data for analytics and operational use. Collaborate with cross-functional teams including Architects, Data Scientists, and DevOps engineers to deliver secure and efficient data solutions.

This position is posted by Jobgether on behalf of a partner company and uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly.

• Lead and mentor a team of data engineers, fostering innovation, collaboration, and continuous improvement.
• Design, implement, and optimize scalable data pipelines and ETL processes to meet evolving business needs.
• Ensure data quality, governance, security, and compliance with industry standards and best practices.

Jobgether is a platform that connects job seekers with companies. They use an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.

Responsible for designing, building, and maintaining scalable data pipelines and warehouse architectures. Integrate, transform, and manage high-volume datasets across multiple platforms. Focus on ensuring data quality, performance, and security while driving innovation through the adoption of modern tools and technologies.

This position is posted by Jobgether on behalf of a partner company.

Build end-to-end data solutions that include ingest, logging, validation, cleaning, transformation, and security. Lead the design, development, and delivery of scalable data pipelines and ETL processes. Design and evolve robust data models and storage patterns that support analytics and efficiency use-cases.

Founded in 1997, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions.

• Partner with our customer teams to develop engineering plans to implement our health system partners
• Build and support robust batch and streaming pipelines
• Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure

Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.

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.

• Design, build, and maintain robust and scalable data pipelines from diverse sources.
• Leverage expert-level experience with dbt and Snowflake to structure, transform, and organize data.
• Collaborate with engineering, product, and analytics teams to deliver data solutions that drive business value.

Topstep is an engaging working environment which ranges from fully remote to hybrid and they foster a culture of collaboration.

• Develop and maintain scalable data pipelines and ETL processes.
• Design, build, and optimize data models and databases.
• Perform data analysis, data mining, and statistical modeling.

We’re supporting a global fintech and digital currency platform in their search for a Senior Data Engineer to help scale and optimize their analytics and data infrastructure.

The Sr Data Engineer, DevX creates the best developer experience for data and application engineers at Basis. They design, implement and maintain deployment and ETL pipelines for data products. Integrate diverse data sources and vendor products, including databases, APIs, and third-party services.

Basis Technologies empowers agencies and brands with cutting-edge software that automates digital media operations, offering flexible work options across the U.S.

• Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
• Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
• Implement and maintain data quality measures throughout the data lifecycle

CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they have a culture that values diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.

• Design and implement scalable, high-performance data architectures to support business needs.
• Develop, automate, and maintain production-grade data pipelines using modern data stack tools and best practices.
• Optimize data workflows and implement observability frameworks to monitor pipeline performance, reliability, and accuracy.

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.

• Design, build and execute data pipelines.
• Build the configurable ETL framework.
• Optimize SQL queries to maximize system performance.

RefinedScience is dedicated to delivering high-quality emerging tech solutions. While the job description does not contain company size or culture information, the role seems to value innovation and collaboration.

• Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
• Write and optimize advanced SQL queries for performance and reliability.
• Implement ETL/ELT processes to ingest and transform data from multiple sources.

Nagarro is a digital product engineering company that is scaling in a big way and builds products, services, and experiences that inspire, excite, and delight.