Source Job

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.

• Lead a world-class data engineering practice, shape up technical strategy and data architecture.
• Develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.
• Partner with IT, data platform, product engineering, analytics teams and data scientists to support multiple programs.

Atlassian's software products help teams all over the planet, and their solutions are designed for all types of work. They believe that the unique contributions of all Atlassians create their success and value a culture that incorporates everyone's perspectives and experience.

• Define and drive the long-term roadmap for our data ecosystem.
• Build and lead a best-in-class team across Data Engineering, Analytics Engineering, and future Data Science/ML Engineering.
• Architect data foundations that support ML and AI workloads.

Fora Financial is a technology-enabled leading provider of flexible financing to small and medium sized businesses.

• 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.

• 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.

• 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 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.

• Lead and mentor a team of data engineers, providing feedback and support for career growth.
• Define and execute the long-term vision for Donorbox's data engineering infrastructure, focusing on scalability.
• Maintain, optimize, and scale the Postgres data warehouse, serving as the source of truth for analytics and reporting.

Donorbox is a leading fundraising platform and donor management system for nonprofit organizations that helps nonprofits become highly effective at raising funds.

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.

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.

• 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.

As SVP of Data & Infrastructure, you will report to the CTO. Your role requires strong technical leadership skills and the ability to drive high business impact across multiple projects. You will lead a world-class remote engineering team based in the United States.

They are a team of experts working to improve health outcomes and reduce the cost of the American healthcare system.

• Design and implement scalable data pipelines and data warehouses.
• Lead the development and deployment of advanced analytics models.
• Translate data insights into actionable business strategies.

XO Health is the first health plan designed by and for self-insured employers that delivers a more unified health experience for everyone.

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.

• 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.

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.

• 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.

• 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.

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.