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Design and implement an end-to-end AWS Data Lake and Lakehouse solution, define standards, govern metadata, and build scalable ingestion pipelines using AWS services, SQL, and Python or Scala.
Software engineer building data platform infrastructure, APIs, and governance tools for Singapore's Whole-of-Government data programme, using cloud services (AWS/GCP), containers (Docker/Kubernetes), and data processing frameworks (Spark, Kafka).
The Data Engineer will design and optimize big data solutions by building scalable pipelines using Hadoop, Spark, Scala, and Elasticsearch. The role involves working with Quantexa and OpenShift to deliver reliable, governance-driven data platforms.
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using distributed systems, Apache Airflow, Kafka, Spark, and Databricks. The role involves designing scalable data pipelines and supporting data scientists in deploying ML models on cloud and on-premises infrastructure.
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using open-source technologies like Apache Airflow, Kafka, and Spark. The role involves designing scalable data pipelines on Databricks and supporting data scientists in deploying machine learning models at scale.
The Data Engineer will design and optimize big data processing pipelines using Apache Spark, Scala, and Elasticsearch within the Quantexa software ecosystem. The role involves collaborating with cross-functional teams to implement scalable data solutions on OpenShift and supporting compliance-focused financial projects.
Senior individual-contributor Data Engineer owning the full lifecycle of Bain's Coro B2B analytics data platform — from technical architecture and hands-on Python development through CI/CD deployment and operations, while mentoring junior engineers.
Data Engineer (contract, 5–7 years) in Monterrey designing scalable data models, building batch/real-time ETL/ELT ingestion pipelines, and developing data-driven applications and APIs using SQL, Python/Java/Scala, and data warehouses/lakes.
Mid-level Data Engineer building and maintaining scalable data pipelines and ETL/ELT processes using Databricks, Apache Spark, and cloud platforms (Azure/AWS/GCP) at an engineering services firm.
Lead a portfolio of distributed microservices and full-stack cloud-based systems at Capital One, mentoring engineers and evaluating technologies across Python, AWS, Java, Go, Scala, Docker, and Kubernetes.
The Senior Lead Software Engineer will design and manage distributed microservices and full-stack systems using Java, Python, Go, and AWS. The role involves mentoring team members and collaborating with product management to build scalable financial solutions.
This Senior Lead Software Engineer role involves leading a team to build and maintain distributed microservices and cloud-based solutions using technologies like Go, Java, Python, and AWS. The position focuses on solving complex business and regulatory problems within a collaborative, iterative development environment.
Design and evolve a large-scale, event-driven microservices backend for Wix's User Voice platform, which processes millions of user feedback signals through an AI pipeline (LLMs, NLU, semantic clustering) to produce actionable product insights.
Lead development of data infrastructure for AI and data observability, processing billions of entries daily. Use Java, Scala, or Python to build distributed systems and optimize large-scale cloud data pipelines.
Build and scale Databricks’ networking infrastructure, designing backend services that connect millions of VMs and cloud resources while enforcing enterprise security policies.
The Lead Data and AI Solution Engineer will oversee the deployment, automation, and governance of GenAI and Agentic AI pipelines. The role focuses on optimizing operational processes, monitoring performance, and ensuring scalable, compliant AI services using frameworks like LangChain and various cloud platforms.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and data infrastructure to support analytics and machine learning initiatives. The role involves collaborating with cross-functional teams to ensure data quality, performance, and security across cloud-based data systems.
The Data Engineer Lead will design and maintain scalable data pipelines and infrastructure while mentoring a team of engineers. The role involves collaborating with stakeholders to build analytics-ready data models and ensuring compliance with data governance standards.
Design and build streaming and batch data pipelines on AWS (Kafka, Spark/Flink, S3 lakehouse) for Pirelli's manufacturing Data Platform, transitioning legacy systems to a data-driven architecture while supporting global production plants.
Data Engineer designing scalable data pipelines, workflow automation with AI Agents, and maintaining a cloud-based Data Platform on GCP for a large omnichannel home-improvement retailer.
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