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We are looking for a Senior Data Engineer to strengthen our Content and Data team, with a focus on data quality. Your work will directly improve the accuracy of our job listings, classification systems, and matching algorithms. This is a hands-on role where you will design and improve data pipelines, manage non-relational databases, apply NLP techniques, and support ML workflows using existing models.

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.

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.

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.

• 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.

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 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.

• 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 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.

• Architect and maintain robust data pipelines to transform diverse data inputs.
• Integrate data from various sources into a unified platform.
• Build APIs with AI assistance to enable secure access to consolidated insights.

Abusix is committed to making the internet a safer place. They are a globally distributed team that spans multiple countries and thrives in a culture rooted in trust, ownership, and collaboration.

• Train and tune machine learning models.
• Explore data and conduct feature engineering.
• Apply natural language processing to understand text and aid in conversational interfaces.

BambooHR is building a people intelligence platform that transforms HR and sets people free to do great work.

• 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.

• 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.

• Design, develop, and maintain reliable, scalable ETL/ELT pipelines across ingestion, transformation, storage, and consumption layers.
• Build and manage data models and transformations using dbt with strong testing and documentation practices.
• Contribute to architectural decisions, technology selection, and data engineering standards.

Vitable is a health benefits platform making healthcare better for employers of everyday workers.

• Design, develop, and deliver AI-driven data products in partnership with engineering and product leadership.
• Translate model outputs into clear, actionable insights that drive customer understanding and decision-making.
• Contribute to the evolution of data science standards, tools, and best practices across the organization.

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

• 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, build, and scale data pipelines across a variety of source systems and streams.
• Implement appropriate design patterns while optimizing performance, cost, security, and scale and end-user experience.
• Collaborate with cross-functional teams to understand data requirements and develop efficient data acquisition and integration strategies.

NBCUniversal is one of the world's leading media and entertainment companies creating world-class content across film, television, streaming and theme parks.

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.

• Design, develop, and implement end-to-end data pipelines to support data collection and transformation.
• Lead the architecture and development of scalable and maintainable data solutions.
• Collaborate with data scientists and analysts to provide clean and accessible data.

DexCare optimizes time in healthcare, streamlining patient access, reducing waits, and enhancing overall experiences.

• Analyze, process, and interpret large datasets to generate actionable insights.
• Develop and maintain ingestion and transformation processes.
• Design data warehouse models.

Software Mind develops solutions that make an impact for companies around the globe.

Lead company data cleanup efforts across Engineering and Research, integrating feedback from Product/ESP/IA. Prioritize segments and features of companies that are most relevant to customers. Transform, cleanse, and extract data, delivering accurate and well-structured datasets.

Findem is a fast-growth startup with an ambitious vision and the technology to back it up, providing critical solutions for talent acquisition and people analytics functions.