Remote Data Jobs • Data Pipelines

The Manager of Data Engineering will lead a team of talented data engineers, overseeing the design, development, and maintenance of our foundational data capabilities, architecture, and infrastructure. This role is crucial for building robust, scalable data pipelines and platforms that support advanced analytics and business intelligence, ensuring our data systems are efficient, reliable, and aligned with organizational goals.

Design and implement modern data architectures and data pipelines on cloud platforms (AWS or Azure). Implement ETL/ELT routes, batch and streaming processing with a focus on scalability and maintainability. Integrate storage systems, event sources, databases and analytics platforms. Automate data processing processes with infrastructure and DataOps methods. Advise customers on data strategy, governance and cloud-native data services.

Drive the development, integration, and deployment of advanced AI, data engineering, and cloud-based solutions. The ideal candidate will have deep expertise in data engineering, agentic AI systems, large language models (LLMs), and Model Context Protocol (MCP).The preferred candidate will bring deep experience with AWS and Snowflake services, including a strong understanding of security best practices for cloud-based AI and data solutions.

Looking for a highly experienced and detail-oriented Senior Data Engineer to lead the design, development, and optimization of complex data systems. This role is instrumental in building reliable, scalable data pipelines and infrastructure to support advanced analytics and data-driven decision-making across the organization. The ideal candidate is a technical leader with deep expertise in data architecture, performance tuning, and mentoring junior engineers.

Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development. Develop and maintain data processing pipelines for getting the data required to build and evaluate models. Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.

Join Collibra’s Professional Services Team as a Solution Architect, Data Quality, you will collaborate with clients to understand their data quality challenges and provide actionable recommendations for developing or refining a robust Data Quality Strategy. Your role will focus on improving client data quality through profiling, analysis, and long-term monitoring using Collibra products. You will partner with clients to create sustainable solutions for their data quality needs.

As an Analytics Engineer supporting Product Data Science, you will be responsible for delivering high-quality data assets (data pipelines and models) that enable both rapid decision-making and the development and deployment of machine learning models. This role will play a crucial role in bridging the gap between traditional analytics engineering and the growing needs of our machine learning initiatives.

This role will be responsible for the data architecture, data pipelines, data operations, and platform management of the data lake and enterprise data warehouse currently under development. This role will build the data transformation pipelines to materialize the data model, configure and automate the orchestration of the pipelines to provide seamless execution and collaborate with BI Engineers to ensure our business stakeholders’ needs are met as they consume data from within the BI platform.

Seeking an experienced Azure Data Engineer Principal Consultant to lead data engineering engagements and design scalable data solutions. You will act as a trusted advisor, providing technical leadership and strategic guidance while working on cutting-edge Microsoft Azure technologies. Oversee the end-to-end delivery of data engineering projects, ensuring quality, scope, and timelines are met.