Remote Data Jobs • AWS

We’re hiring a Senior kdb+ Developer for a leading data solutions provider specializing in financial services. The focus of this role is to lead the design and implementation of high-performance kdb+ architectures , ensuring scalability and reliability in production environments. This is a permanent, full-time, Remote role.

Join our growing team as a Senior Data Engineer and help shape the future of our modern data platform, where you will be responsible for designing, building, and maintaining scalable data solutions using Snowflake, Airflow, and AWS. Partner with business and technical stakeholders to deliver high-quality data products while ensuring reliability, quality, and governance. Independence and ownership are key in this role where you'll have the freedom to design and execute solutions end-to-end.

As a Senior Data Engineer on our Data Platform team, you’ll build Jobber’s data infrastructure and systems, driving improved operational outcomes, enhancing workflow efficiencies, and generating critical business insights. The responsibilities include building scalable data solutions, empowering internal teams, accelerating business growth, and maintaining data integrity. You will lead initiatives to research new technologies for our data stack.

Join the Business Operations team as a Business Intelligence (BI) Engineer, supporting the Delivery team by collecting and analyzing data, creating visual reports, and providing strategic recommendations to enable data-driven decisions. You will manage data pipelines, build BI dashboards, and solve complex problems.

Build and maintain data pipelines by developing scalable ETL/ELT processes. Optimize data infrastructure. Collaborate across teams with data scientists, analysts, and engineers to understand requirements and deliver usable datasets. Ensure data quality through monitoring and testing. Contribute to team growth by documenting work and sharing learnings.

As a Senior Data Engineer at Nearform your main task will be designing, building, and maintaining scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, and other relevant technologies. You will play a key role in building efficient data solutions, optimizing performance, and ensuring seamless data integration.

Implement and support systems that reliably provide interactive query performance on large amounts of multi-modal data. You will collect, parse, analyze, and visualize large sets of data, improve systems that handle scale, and troubleshoot and improve the infrastructure required for data extraction, transformation, and loading from various data sources.

The Senior Data Engineer will architect, implement, and optimize data models, pipelines, and storage solutions across Acquisition.com’s data ecosystem. This individual will ensure reliability, performance, and accessibility of data, serving as a bridge between raw information and actionable business intelligence. With a lean, agent-driven development paradigm, you will take complex data initiatives from concept to delivery.

Design, develop, and maintain data pipelines that ingest, transform, and load data from various sources into data lakes, data warehouses, and data marts using Python, Spark and other cloud services to serve analytics needs and machine learning model requirements. Contribute to the detailed design and architecture of the data platform ensuring consistency, efficiency and reusability of data components and processes.

As a Senior Data Engineer at Nearform your main task will be designing, building, and maintaining scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, and other relevant technologies. You will play a key role in building efficient data solutions, optimizing performance, and ensuring seamless data integration.