Join a product start-up and expand the Big Data Engineering team. As a Big Data Engineer, you will be responsible for designing, developing, and optimizing large-scale data processing pipelines, collaborating with data scientists and software engineers to ensure the seamless integration of data solutions. Work with the latest Big Data tools and cloud solutions, collaborating with clients across the UK, US, and Europe.
Job listings
North America
4w PTO
Work with a team of engineers to build first-party and third-party data integration with external data sources. Build and architect scalable low-latency backend systems and big data pipelines. Provide technical guidance in designing scalable solutions and best practices. Make a positive impact on the team's productivity and growth.
As a Solution Architect – Advanced Analytics, you will lead the design and delivery of cloud-native analytics architectures for enterprise clients. This role requires strong consultative and business communication skills. You’ll work with clients to assess needs, define solutions, and lead implementation across the data lifecycle. You’ll play a key role in articulating the business value and ROI of these solutions.
Design, develop, and maintain scalable, secure, and high-performance data platforms. Build and manage data pipelines (ETL/ELT) using tools such as Apache Airflow, DBT, SQLMesh or similar. This role requires extensive experience in data engineering or platform engineering roles, strong programming skills in Python and Java, and a deep understanding of distributed systems.
$142,000–$196,600
USD/year
As the Data Platform Engineer, you will contribute to building and maintaining scalable tools for data teams, expanding the self-serve ETL, and managing the data catalog. You will participate in planning and code reviews, improve platform performance, and promote best practices. The role involves staying up-to-date with data engineering technologies.