Modelling the data from various sources and technologies. Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems. Training and mentoring junior data engineers, providing guidance and knowledge transfer.
Lingaro has been on the market since 2008 and has 1500+ talents currently on board in 7 global sites.
Lead the development of our data infrastructure, from ingestion, ETL / ELT, aggregations, processing, and quality checks.
Provide technical leadership, mentoring, and guidance to a team of data engineers and analytic engineers.
Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines, ensuring impeccable data quality, processing, and integration.
Oportun is a mission-driven fintech company that aims to make its members' financial goals achievable. They empower members with intelligent borrowing, savings, and budgeting capabilities to build a better financial future and have provided more than $19.7 billion in responsible and affordable credit.
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 and implement data solutions for various cloud data platforms.
Lead and mentor engineering teams in best practices and technical excellence.
Develop end-to-end technical solutions into production, ensuring optimal performance and security.
Jobgether is a remote-first organization that values a culture of technological curiosity, ownership, and trust and provides a dynamic and casual work environment for top performers. They use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
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.
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.
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.
Design, implement, and optimize end-to-end data solutions using modern cloud platforms.
Collaborate with clients and internal teams to translate requirements into technical architectures.
Mentor engineers, provide technical leadership, and deliver detailed documentation.
Jobgether is a platform that connects job seekers with companies. They use AI-powered matching to ensure applications are reviewed quickly and fairly. The final decision and next steps (interviews, assessments) are managed by the hiring manager's internal team.
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.
Develop analytical data products using Airflow, DataProc, PySpark, and BigQuery on the Google Cloud Platform, with solid data warehouse principles. Build data pipelines to monitor data quality and analytical model performance. Maintain the data platform infrastructure using Terraform and develop, evaluate, and deliver code through CI/CD.
CESAR is an innovation and education center that has been training people and driving organizations for almost 30 years, leveraging their digital strategies.
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.
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.
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 Neko’s Data Engineering strategy, ensuring long-term leadership in preventive health.
Drive innovation in data engineering technologies and practices, balancing current and future needs.
Build a platform supporting responsible AI — fairness, privacy, explainability, and compliance.
Neko Health is a Swedish healthcare technology company focused on shifting healthcare from reactive treatment toward preventative health and early detection. They have over 500 employees with offices in Stockholm, London and Manchester and are focused on creating a flexible work environment.
Build and operate data pipelines from D365, Power Platform, and other sources into the enterprise data platform.
Design and implement star schemas, data lake house structures, and semantic models for Power BI.
Optimize performance and cost management for reporting in Azure.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify top-fitting candidates and share the shortlist with the hiring company.
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.
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.