Source Job

• 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.

• Design, build, and maintain scalable data pipelines and warehouses for analytics and reporting.
• Develop and optimize data models in Snowflake or similar platforms.
• Implement ETL/ELT processes using Python and modern data tools.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company; the final decision and next steps (interviews, assessments) are managed by their internal team.

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.

• Partner with clients and implementation teams to understand data distribution requirements.
• Design and develop data pipelines integrating with Databricks and Snowflake, ensuring accuracy and integrity.
• Lead architecture and implementation of solutions for health plan clients, optimizing cloud-based technologies.

Abacus Insights is changing the way healthcare works by unlocking the power of data to enable the right care at the right time. Backed by $100M from top VCs, they're tackling big challenges in an industry that’s ready for change with a bold, curious, and collaborative team.

• Design, develop, and maintain robust data processes and solutions.
• Develop and maintain data models, databases, and data warehouses.
• Collaborate with stakeholders to gather requirements and provide data solutions.

Highmark Health is a national, blended health organization that includes one of America’s largest Blue Cross Blue Shield insurers.

• Design, develop, and maintain scalable data pipelines and data warehouses.
• Develop ETL/ELT processes using Python and modern data tools.
• Ensure data quality, reliability, and performance across systems.

3Pillar Global is dedicated to engineering solutions that challenge conventional norms. They are an elite team of visionaries that actively shapes the tech landscape for their clients and sets global standards along the way.

• 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.

• Assist in executing data engineering projects within the Customer Intelligence portfolio to meet defined timelines and deliverables.
• Build and maintain ETL pipelines based on user and project specifications to enable reliable data movement.
• Develop and update technical documentation for key systems and data assets.

Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better.

• 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.

• Build and monitor Cribl’s core data tech stack including data pipelines and data warehouse.
• Develop cloud-native services and infrastructure that power scalable and reliable data systems.
• Support Cribl’s growing data science and agentic initiatives by preparing model-ready datasets.

Cribl is a company that provides a data engine for IT and Security for various industries.

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.

• 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 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.

• Design and implement event-driven pipelines using AWS services to ingest data from external sources in real-time.
• Build and maintain streaming data pipelines between HubSpot CRM and PostgreSQL, handling webhook events and API polling.
• Implement schema validation, data type checking, and automated quality gates at the ingestion layer to prevent bad data from entering the system.

PropHero is a property analytics platform provider. They have reached €30M revenue in 4 years, 25% QoQ growth, and are already profitable, offering a modern, cloud-native AWS data platform.

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.

• Migrate data and analytics workloads from BigQuery to Snowflake
• Develop and optimize ETL/ELT pipelines using Python and SQL
• Build analytics-ready datasets for reporting and dashboards

Egen is a fast-growing and entrepreneurial company with a data-first mindset. They bring together the best engineering talent working with the most advanced technology platforms to help clients drive action and impact through data and insights.

• 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.

• Work alongside Caylent’s Architects, Engineering Managers, and Engineers to deliver AWS solutions.
• Build solutions defined in project backlogs, writing production-ready, well-tested, and documented code across cloud environments.
• Participate in Agile ceremonies such as daily standups, sprint planning, retrospectives, and demos.

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). They are a global company and operate fully remote with employees in Canada, the United States, and Latin America fostering a community of technological curiosity.

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions. Design and oversee the data architecture and infrastructure, ensuring scalability, performance, and security. Create scalable and efficient data processing frameworks, including ETL processes and data pipelines.

Lingaro has been on the market since 2008, with 1500+ talents currently on board in 7 global sites and emphasizes career growth and skills development.