Source Job

• Design and develop the whole GCP data ecosystem, including Cloud Storage, Cloud Functions, and BigQuery.
• Guide and mentor the data engineering team, providing technical direction and ensuring adherence to best practices.
• Design and optimize data storage architectures, including data lakes and data warehouses.

On the market since 2008, 1500+ talents currently on board in 7 global sites.

Design and architect scalable data pipelines and infrastructure on GCP. Provide technical guidance to data engineering teams. Partner with Sales and Engineering to translate client requirements into data engineering solutions.

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology.

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, 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.

Provide leadership and guidance to the data engineering team, fostering a collaborative work environment. Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools and methodologies. Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders.

Lingaro has been on the market since 2008, with 1300+ talents currently on board in 7 global sites.

• Own the Data Products: You aren't just moving data; you are building durable, high-performance data assets that the business relies on.
• Empower the Consumers: Your team is the force multiplier for Data Science and Analytics. You remove the friction of data cleaning and query optimization so they can focus on insights.
• Enforce Technical Rigor: You ensure that our data models are not just accurate, but performant, scalable, and built with software engineering best practices.

Dandy is transforming the massive and antiquated dental industry. They aim to simplify and modernize every function of the dental practice through technology.

• Develop scalable and stable data architectures that meet business needs.
• Collaborate with global expert teams to deliver end-to-end data solutions.
• Create and execute migration strategies for transitioning to new data architectures on GCP.

Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 and has been inextricably linked with the region ever since.

• 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, 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.

• Build and scale data services by designing, developing, and maintaining scalable backend systems and APIs.
• Collaborate on data architecture and models, partnering with engineering and analytics teams to optimize storage and processing workflows.
• Contribute to standards, quality, and governance by building reliable, observable data systems with strong testing and validation.

Zapier builds and uses automation every day to make work more efficient, creative, and human.

• 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.

Lead efforts to improve and scale our promotion architecture, optimize data infrastructure, enhance analytical models, and enable data-driven decision-making across the organization. Manage the partnership with our Product and Engineering teams to support works across some of Wealthsimple’s highest priority efforts. Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization.

Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money.

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.

• 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.

• 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 and build Data Warehouse and Data lakes, utilizing knowledge of data warehouse principles and concepts. Demonstrate expertise in design and development of complex data pipelines. Utilize SQL and at least one scripting language to trace and resolve data integrity issues.

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies.

Play a key role in ensuring the stability, scalability, and efficiency of data platforms and pipelines. Work at the intersection of data engineering, database administration, and technical operations, supporting critical analytics workflows. Monitor, troubleshoot, and optimize databases and data warehouses, while implementing automation and orchestration solutions using Python.

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

• Projetar, desenvolver e manter pipelines de dados (batch e streaming) para ingestão, transformação e disponibilização de dados para analytics e consumo por aplicações.
• Construir e evoluir modelagem analítica (camadas bronze/silver/gold, data marts, star schema, wide tables), garantindo consistência, documentação e reuso.
• Implementar boas práticas de qualidade de dados (testes, validações, contratos, SLAs/SLOs, monitoramento de freshness/completeness/accuracy) e atuar na resolução de incidentes com RCA.

CI&T specializes in technological transformation, combining human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, they have partnered with more than 1,000 clients during their 30 years of history.

• Design and deliver complex software solutions across hybrid environments.
• Manage data needs for the Pharmacy Application and drive related data science projects.
• Provide solutions for data requirements for a high-volume transaction processing platform, ML model development, and software application interfaces.

Cotiviti provides data-driven solutions that help healthcare organizations, retailers, and payers improve financial performance and operational efficiency.

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.