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Staff Software Engineer, Data Engineering Solutions
Leads a team building and scaling data pipelines, warehouses, and AI tools for Stripe's financial infrastructure platform, using technologies like Spark, Kafka, and SQL.

Software Engineer, Data Orchestration
Designs and builds scalable data orchestration infrastructure for batch processing at Stripe, using tools like Airflow, Spark, and Kafka to support financial and analytics workflows.
Senior Data Engineer
About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At…
Data Engineer
As a Data Engineer, you will design, build, and maintain robust data pipelines and architectures that support analytics, reporting, and business intelligence initiatives across the organization using technologies like SQL, cloud platforms (AWS, Azure, Google Cloud), and ETL/ELT tools.
Software Engineer Manager, IS&T Ai & Data Platforms
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and…
Senior Data Platform Engineer
Architect, build, and scale Depop's data platform using Databricks, Airflow, dbt, and Kafka on cloud infrastructure (AWS/GCP/Azure) with Python or Scala, enabling self-serve data capabilities across the organisation.
Senior/Staff Software Engineer, Data Platform
Build and maintain Sovrn’s data pipelines and warehouse to ensure reliable, high-performance analytics for Open Web businesses using Python, Spark, Databricks, Kafka, and AWS.
Data Scientist
Build meaningful data products and apply Machine Learning using Python, SQL, and AWS. The role involves data modeling and communicating insights to clients.
Full Stack Software Developer
What You'll Do Product & Application Development Build and maintain modern web applications, from UI through to API and data layer. Develop new product features and improve existing applications. Integrate…
Senior Data Engineer
About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with…
Data Engineer, AI, Agents, & Context
Data Engineer - AI, Agents, & Context - Revenue Cycle (Associate) Location: Chicago - 550 Van Buren Remote Type: Remote Time Type: Full time Job Description Huron helps its clients drive growth, enhance performance…
Intermediate Data Engineer
Designs and maintains data pipelines to process large volumes of data using Python, PySpark, SQL, and cloud platforms like Azure, ensuring scalable and secure data integration for business insights.
Senior Data Engineer
Designs and maintains scalable data pipelines and models for BEES, a digital platform under AB InBev, using cloud services, Python, PySpark, and SQL to support analytics and business decisions.
Senior Data Engineer
Senior Data Engineer at AB InBev builds and maintains data pipelines for the BEES platform using Python, SQL, PySpark, and cloud services to support data ingestion, transformation, and compliance.
Intermediate Data Engineer
Designs and maintains data pipelines for a B2B commerce platform, using Python, PySpark, SQL, and cloud services like Azure to process and integrate large datasets.
Senior Data Engineer
Designs and builds data pipelines to power a B2B e-commerce personalization engine for a global brewer’s tech division, using cloud data tools and SQL.
Senior Data Engineer
Build and maintain data pipelines for a B2B e-commerce platform, using Python, SQL, PySpark/Scala, and cloud services to process and transform retail data.
Data Engineer - €50.000 A Year
Data Engineer maintaining and developing a DataHub using Scala, Spark, Hadoop, and cloud technologies, responsible for data pipelines, CI/CD, and migrating Hadoop infrastructure to cloud/Kubernetes.
Senior Big Data Engineer
Senior Big Data Engineer responsible for designing, developing, maintaining, and optimizing Big Data pipelines using Apache Spark, Azure Databricks, Hive, and Scala/Python, with a focus on performance, scalability, and collaboration with technical teams.