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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Data Engineer | Senior based in Brazil. As a Senior Data Engineer, you will…
Position Summary Amerit Fleet Solutions seeks an experienced Data Engineer to design, build, and maintain a robust data lake infrastructure that will serve as the foundation for enterprise analytics, reporting, and…
Overview This position is onsite at the Corporate Headquarters located in Kenosha, WI. Who We Are: As part of the Snap-on Tools team, you'll be joining an extraordinary company that has been the industry standard…
Maintain and evolve Verifone’s global payment data platform, focusing on Kafka streaming, databases, cloud infrastructure, and DevOps automation to power analytics and AI initiatives.
Data Engineer at Prodigal, an AI platform for banks and lenders, building scalable data pipelines and clean data assets in a Databricks data lake using SQL and dbt, and supporting AI/ML initiatives. Role is in-office in Koramangala, Bengaluru.
WHO WE ARE Headquartered in Nashville, Tennessee, Ncontracts leads the industry in integrated risk management and compliance solutions, serving over 5,000 financial institutions nationwide. As an eight-time Inc. 5000…
Senior Data Engineer designs, builds, and scales cloud-based data pipelines and real-time streams for mission-driven clients, using Python, SQL, and AWS/GCP/Azure.
Senior DevOps Engineer joining Isprox's Professional Services team for a tech-sector client in Madrid (hybrid, 1 day/week onsite): migrating workloads between AWS accounts, building CI/CD pipelines, and automating infrastructure with Terraform, CloudFormation, CDK and Ansible. Core stack is AWS (ECS/EKS, Aurora MySQL, Redshift), Python and Bash.
Senior engineer on Expedia Group's Data Lake and Catalog team, building and operating the core Lakehouse and data discoverability platform so analytics and product teams can find and trust data. Day-to-day involves designing scalable services, mentoring, and production ownership using JVM (Kotlin/Java), the Hadoop ecosystem (Spark, Hive), Apache Iceberg, and AWS data infrastructure (EMR, S3, Glue)
Senior Data Engineer at Jacobs designs, builds and maintains cloud data platforms and ETL/ELT pipelines for clients in government, defence and highly regulated industries. Day to day involves AWS or Azure cloud-native services, PySpark, Python/Java microservices, SQL optimisation, data quality checks and CI/CD practices.
Data engineer at Jacobs building and maintaining cloud-based ETL/ELT data platforms on AWS or Azure for government, defence and regulated-industry clients. Day-to-day work spans PySpark, Python/Java microservices, SQL (Athena, Redshift, Synapse), data quality checks and CI/CD-driven delivery.
Stiamo cercando un Data Engineer da inserire nel team Genya , con un ruolo centrale nello sviluppo in MS Azure di una piattaforma dati (data lake) per processi di BI ed integrata con AI . Genya sta evolvendo verso un…
Designs and builds scalable data pipelines on Databricks (Spark, Delta Lake, MLflow) to power analytics and ML, optimizing performance and cost across cloud platforms.
Senior data engineer on the data platform team of BCI's MACH digital bank: designs, builds, and autonomously optimizes data pipelines and infrastructure on AWS (Glue, Athena, MWAA, Lambda, Terraform) using Python and SQL, while driving data governance, observability, FinOps, and mentoring junior engineers. Hybrid role in Santiago with 4 remote days per week.
Build and maintain data models and pipelines for Anduril’s AI-powered defense systems, using SQLMesh, Palantir Foundry, and Apache Iceberg to create reusable analytics that drive real-time decision-making.
Build and maintain data pipelines and models to transform HR data into clean, analytics-ready datasets for workforce insights and decision-making.
Build and lead Anduril’s data models and analytics infrastructure, turning raw military-operations data into real-time, AI-powered decision tools using Palantir Foundry, SQLMesh, and Apache Iceberg.
Build and own data pipelines and models for a defense-tech platform, using SQLMesh, Palantir Foundry, and AWS Athena to power real-time analytics and AI-driven command systems.
Senior Azure Data Engineer at consultancy Capitole in Valencia, Spain, designing, developing and industrializing cloud data pipelines and scalable data models for analytics and AI using Databricks and Azure services (Synapse, Data Factory, Data Lake, Event Hub, Data Explorer) within Agile/DevOps teams. Requires 3+ years of data pipeline experience, Python/PySpark/SQL skills, and advanced English.
Data Engineer who owns and maintains all data pipelines feeding internal analytics for a client of Driven by Data, working 100% remotely in an Agile/JIRA setup with direct contact with business owners. Core stack: Python, SQL, PySpark, Airflow, AWS (S3, EMR, Step Functions, SageMaker), Snowflake, Jenkins, CloudWatch and Grafana.
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