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Title: Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Enterprise Analystics Data…
Our Team Cimpress Technology develops cutting-edge, best-in-world software that our mass customization businesses use to create personalized products for over 17 million global customers. Our Mass Customization…
Job Purpose Responsible for designing, building, and optimizing scalable data infrastructure and pipelines that support the organization's analytics, data science, and AI capabilities. Serves as a senior technical…
PIMCO Prime Real Estate sucht zum nächstmöglichen Zeitpunkt einen AI Engineer (m/w/d) für unser Data & AI Team in München. In dieser Rolle unterstützen Sie die Entwicklung und Implementierung praxisorientierter AI-…
Are you ready to build data solutions that improve manufacturing performance and enable the next generation of AI and machine learning? Join Corning’s Optical Communications team and help transform complex…
Job Purpose Lead the Data Engineering function, owning the design and evolution of the organization's data infrastructure and platform. Drive the delivery of scalable, reliable data pipelines and systems that…
Senior Data & AI Platform Engineer consultant at OCTO, advising and delivering data transformation solutions for clients using SQL, Python, low-code data tools (Dataiku, Alteryx, Snowflake, Databricks), and one of GCP, AWS, or Azure.
Designs and maintains data pipelines to process and integrate structured/unstructured data for intelligence analysis, using Python, SQL, and Palantir in a secure government-focused environment.
Designs and scales data platforms for analytics, product insights, and ML, leading architecture discussions, optimizing pipelines, and mentoring teams to improve data reliability and quality for a fintech company.
Senior Data Engineer building agentic systems for Fountain's data platform — designing agent-assisted dev workflows, evaluation layers, and self-service analytics using dbt, Dagster, ClickHouse Cloud, Python, and LLM/agent tooling.
Data Engineer at Accenture España designing and implementing modern, scalable data architectures (ETL, data ingestion, data quality) for top clients using Python, PySpark, SQL/NoSQL, Big Data, and cloud technologies in a hybrid role based in Barcelona or Madrid.
Designs and optimizes scalable, secure data platforms for clinical research analytics, AI/ML, and regulatory compliance using cloud-native tools and distributed systems.
Designs and maintains data pipelines and infrastructure for AI/ML and NLP projects supporting Intelligence Community missions, using AWS, Kafka, Spark, and Kubernetes in Chantilly, VA.
Data Engineer building scalable ETL/ELT pipelines, data warehouses, and data lakes using Python, SQL, Apache Spark, Airflow, and cloud platforms (AWS/Azure/GCP) to power analytics and AI/ML products.
Principal Data Engineer at Recorded Future designs and maintains large-scale data pipelines and systems to ingest, process, and analyze cybersecurity threat intelligence data using Python, Kafka, and graph databases.
Build and own the data platform powering trusted, petabyte-scale data for analytics, BI, and agentic workflows at a fintech leader.
Lead the design and delivery of real-time data pipelines and backend microservices for InMobi’s DSP, processing billions of bid-stream events daily to power bidding intelligence, audience targeting, and campaign analytics using Python/Java/Scala, Kafka/Flink, StarRocks, and Kubernetes.
This Senior Software Engineer role focuses on building and maintaining scalable data pipelines, offline experimentation tooling, and route simulation services for Lyft's mapping team. The position involves working with technologies like AWS, Databricks, Kubernetes, and Airflow to improve routing accuracy and travel time estimations.
Design and implement Agentic AI solutions, build data pipelines for RAG systems, and develop LLM-based applications using frameworks like LangGraph/LangChain for Thales Group's defense-sector R&D projects.
Full-stack developer designing automated satellite data processing pipelines and high-availability STAC/REST APIs for Earth observation, using Python, JavaScript/TypeScript, React/Angular, and SQL/NoSQL databases.
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