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Job Title: AI Software Engineer Location: Arlington, VA (Hybrid - 2 days per week onsite) Clearance Required: Need a Job Type: Direct Hire Top Skills 4 years of experience building production-grade applications using…
Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition…
Lead a team building and operating FloQast’s lakehouse stack (Iceberg, Spark, Kafka, Trino) while coding half the time and managing engineers the other half.
Designs and maintains scalable, observable data pipelines and datasets to support analytics, AI, and business intelligence, collaborating with engineers, data scientists, and analysts to drive data-driven decision-making and improve data infrastructure across MYOB’s business management solutions.
Builds and maintains enterprise-scale data pipelines on Microsoft Azure for Rabobank, ensuring data-driven decision-making across the bank’s agribusiness operations.
Build scalable data pipelines using Azure services like ADF, Synapse, Databricks, and ADLS, while maintaining governance and security standards, and working with stakeholders to enable data-driven decisions.
Build and maintain data pipelines in Spark (Scala) for a large French bank’s data engineering team, integrating batch, streaming, and API flows with Kafka, HDFS, and Cassandra.
La force de Niji : croiser les expertises digitales - conseil, design, IA, data, tech, intégration et cybersécurité - au service de solutions concrètes et innovantes pour nos clients grands comptes et ETI. Nos projets…
Onyx-Conseil recherche un data engineer senior pour intégrer une filiale bancaire à Paris. Vous concevrez et maintiendrez des pipelines data (batch et streaming) et développerez des traitements Spark en Scala, avec une…
We're putting together a talented team to build the #1 training platform for Runners We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community…
Design and optimize scalable data pipelines and transition to a Data Mesh architecture for a betting platform using Spark, Python/Scala, and cloud-native services.
Design and maintain scalable data pipelines for Grab’s lending business using Flink, Spark, Kafka, and AWS services to deliver real-time metrics and analytics.
An ML Engineer working on flexible data and AI projects focused on document automation (LLM-based information extraction, data modeling) and speech-to-text transcription (audio analysis, conversation summarization).
Builds scalable, fault-tolerant data pipelines processing 5B+ daily clickstream events for Allegro’s ecommerce platform using GCP (DataProc, Beam, BigQuery) and hybrid architectures.
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines within GCP environments. The role involves implementing data transformation logic, ensuring data quality, and collaborating with cross-functional teams to deliver scalable data solutions.
Designs, builds, and maintains cloud-based data pipelines for FATCA, CRS, and PTR regulatory reporting, ensuring accurate, compliant, and timely data delivery.
Build and maintain scalable data pipelines and warehouses for a fast-growing mobility app, using Python, Spark, Kafka, and cloud data warehouses like Snowflake.
Leads data engineering teams to design, build, and optimize scalable data pipelines and lakehouse architectures on Databricks/AWS, ensuring platform reliability, cost efficiency, and cross-team alignment for business intelligence, analytics, fraud detection, and reporting at a global sports-tech company.
The role involves deploying high-impact ML models (including NLP transformer models) in a fintech environment, optimizing Hadoop clusters, and maintaining ML pipelines for scoring. Daily work includes industrial ML model implementation, pipeline design, cluster administration, and data storage optimization for a team of over 60 engineers.
Leads distributed backend systems and engineering strategy for a large-scale e-commerce platform, focusing on scalability, architecture, and team mentorship while collaborating with cross-functional teams.
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