Remote Data Jobs · ETL

We’re looking for a skilled Data Engineer with hands-on experience in Apache Airflow to join our data team. In this role, you’ll be responsible for designing, building, and maintaining scalable data pipelines and workflows that support our analytics and data-driven products. Develop , schedule, and monitor data pipelines using Apache Airflow. Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery. Optimize ETL processes for performance, reliability, and scalability.

Tackle diverse projects for clients ranging from local businesses to the Fortune 500. Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse. Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning.

In this role, you’ll design and implement data-intensive solutions that power a truly data-driven organization. As a Data Engineer, you’ll build data products aligned with Data Mesh vision and target architecture. Turning data into impact is key. You will design, build, and maintain efficient and reliable data pipelines and develop and optimize data models for analytics and reporting.

Shift Technology offers a unique opportunity to data solutions engineers to accelerate their careers, improve their coding skills and have a high impact for our clients. Implement scraping and data retrieval pipelines such as web crawling websites with online vehicle ads to detect suspicious claims, crawl social media and public sites to spot discrepancies between claims and online activity. The work is focused on implementing and maintaining data connectors, external data integration and helping building key showcases.

The Data Architect / Lead Data Engineer serves as both a strategic enterprise architect and hands-on technical leader, responsible for designing and implementing secure, scalable, and compliant data architectures. This role leads discovery and assessment of existing data ecosystems, defines future-state architectures and migration options, and supports data platform modernization efforts. Architects solutions in both on-prem and FedRAMP-authorized cloud environments.

Sagent is seeking an experienced Data Engineer to join our Dara product(s) team. Dara is the next generation, cloud native, mortgage servicing platform positioned to transform the $13T mortgage industry. As a Data Engineer you will be responsible for leading the design and implementation of comprehensive data solutions.

In this role, you’ll focus on enhancing our Python-based frameworks, optimizing SQL queries, and improving data access and performance within both the Snowflake and ServiceNow platforms. As a Senior Data Engineer, you will design and implement scalable, high-performance data models and pipelines that power analytics, dashboards, and data science initiatives across the organization.

Design, build, and maintain reliable data pipelines to consolidate information from various internal systems and third-party sources. Develop and manage a comprehensive semantic layer. Implement and enforce data quality checks, validation rules, and governance processes to ensure data accuracy. Ensure AI agents have access to the necessary structured and unstructured data. Create clear documentation for data models and pipelines.

Be a hands-on leader in building a discipline of exceptional analytics engineers working to make Data at Monzo the gold standard within the industry. Nurture between 5 to 6 analytics engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others. Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives.

We are seeking an experienced Qlik Sense Developer to design, develop, and maintain data- driven dashboards and analytics solutions. The role involves building efficient data models, creating impactful visualizations, and integrating Qlik Sense with multiple data sources. Experience or exposure to SAP Analytics Cloud (SAC) is a plus, as the client may transition to SAC in the near future.