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The Staff Data Engineer will design, build, and optimize robust data infrastructure and pipelines to support MACH's data operations. The role involves implementing data governance, enabling AI initiatives, and ensuring platform observability using AWS and modern data engineering practices.
Data Engineer focused on Denodo, designing and evolving semantic layers, virtualizing enterprise data sources, optimizing query performance, and ensuring data governance within an AWS-based data ecosystem.
AWS Data Engineer designing and maintaining large-scale data architectures (Data Lakes, Data Warehouses, Lakehouses) on native AWS services, building automated ETL/ELT pipelines with Python/Scala/SQL, Spark, and AWS data tools like Glue, Redshift, and S3.
Full Stack Engineer owning end-to-end development—frontend, backend, and cloud infrastructure—building responsive, secure, scalable web applications with Node.js, React, and AWS serverless components.
Full Stack Engineer responsible for end-to-end application development, integrating frontend, backend, and cloud infrastructure. Core technologies include React, Node.js, AWS cloud services, and PostgreSQL.
Cloud/FinOps Data Engineer building and optimizing cloud billing data pipelines on GCP or AWS, using Python, SQL/NoSQL, and big data architectures to drive C-level reporting.
Data Engineer III building and maintaining cloud-based data pipelines, lakehouse architectures, and analytics solutions on AWS (S3, Glue, EKS, Lambda) using Python and Spark for JPMorgan's International Consumer Bank.
Senior Data Engineer building a modern AWS-based data platform from scratch for a Nordic bank, designing pipelines, ensuring governance, and mentoring teammates in a hybrid role across Sweden.
Senior Data Engineer leading the design and operation of AWS-based data warehousing, ELT pipelines, QuickSight reporting, and GenAI/LLM-powered analytics capabilities for a fintech company.
Senior Analytics Engineer building scalable data models, semantic layers, and reusable data products to support reporting, self-service analytics, and AI-driven decision-making using SQL, Python, and AWS.
Senior Data Engineer building scalable Snowflake-based data pipelines and warehouse solutions in the insurance sector, using AWS cloud services, Python, SQL, Java, and Scala on a 12-month hybrid contract in Toronto.
Data Lead role designing, orchestrating, and evolving enterprise-scale data platforms and analytical ecosystems on Databricks and AWS, including CI/CD pipelines, data governance, and observability.
Design and build AWS-based data architectures—S3 data lakes, Glue ETL pipelines, Redshift/Snowflake/Databricks warehouses, and RAG-powered AI systems—across diverse client engagements, with mentoring and architecture presentation responsibilities.
Data Engineer working on large-scale projects using Databricks, PySpark, Spark, and Cloud technologies to build and evolve data platforms, process large volumes of information, and develop data pipelines and Data Lake/Lakehouse architectures.
AXPE Consulting is hiring Data Engineers to build and maintain large-scale data platforms, ETL pipelines, and Lakehouse architectures using Databricks, PySpark, and cloud technologies. This is a remote role focused on delivering data solutions for large organizations and financial entities.
Full-stack developer with UX focus building secure, accessible web applications for the University of Birmingham's Web and Digital team, using modern JavaScript/TypeScript frameworks, GitHub, Azure DevOps, and CI/CD pipelines within an Agile Scrum environment.
Remote Cloud Database Administrator responsible for designing, administering, and optimizing AWS Redshift Serverless, Snowflake, and Databricks environments supporting US government healthcare data systems at CMS.
abra professional services is seeking a Senior Generative AI Engineer! This is a hands-on role combining deep technical expertise with strategic thinking to design, develop, and implement advanced Generative AI…
A Data Engineer who designs, builds, and maintains data pipelines and systems that power products and analytics. Works with architects, analysts, and developers to transform raw data into meaningful insights using technologies like SQL, Python, ETL tools, and big data frameworks.
The Data Architect/Engineer will own and operate an AWS-based data hub and Customer Data Platform, managing end-to-end data ingestion, identity resolution, and cross-cloud pipelines between Azure and AWS. The role involves building ETL pipelines, ensuring data security and compliance, and collaborating on BI reporting and AI-driven personalization.
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