10 of 10 MongoDB Jobs in Stafford

MVC, C# and Azure SQL. Our client can provide you with Greenfield project work and exposure to: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. This is a truly amazing opportunity to More ❯

pipelines. Proficiency in Python, SQL, and at least one other language (e.g., Scala, Java). Experience with relational (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms like AWS, Azure, or GCP. Experience with ETL processes and automating data workflows. Strong communication skills and adaptability in More ❯

least one other programming language commonly used in data engineering (e.g., Scala, Java). Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms like AWS, Azure, or GCP for deploying and managing data systems. Extensive experience with ETL processes (Extract, Transform, Load More ❯

least one other programming language commonly used in data engineering (e.g., Scala, Java). Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms like AWS, Azure, or GCP for deploying and managing data systems. Extensive experience with ETL processes (Extract, Transform, Load More ❯

Cloud) and microservices architecture. Nice-to-Have Requirements Experience with data modeling, containerization (Docker, Kubernetes), and distributed computing (Spark, Scala). Familiarity with GraphDB, MongoDB, SQL/NoSQL, and other DBMS technologies. Understanding of system automation, protection, and diagnostics in relevant sectors. Experience with deep learning algorithms, reinforcement learning, NLP More ❯

Cloud) and microservices architecture. Nice-to-Have Requirements: Experience with data modeling, containerization (Docker, Kubernetes), and distributed computing (Spark, Scala). Familiarity with GraphDB, MongoDB, SQL/NoSQL, and other DBMS technologies. Understanding of system automation, protection, and diagnostics in relevant sectors. Experience with deep learning algorithms, reinforcement learning, NLP More ❯

For: >3 years’ development experience An understanding and competence in: REST APIs, Basic Linux commands, (use case: ssh onto a server to run code) MongoDB AWS (RDS, EC2, ECS, S3, Lambda, DNS, Basic Network routing on AWS) VCS (Git) Automation & CI/CD pipelines ( Github workflows enough) Developing, testing, and More ❯

managing data pipelines for structured and unstructured data. Solid experience with database management systems (e.g., relational databases like PostgreSQL, NoSQL databases like Cassandra and MongoDB). Solid expertise in utilizing data storage technologies such as Data Lakes, NoSQL, and relational databases. Solid experience in building scalable and reliable data pipelines … Have Requirements Familiarity with big data technologies such as Hadoop, Kafka, and similar tools. Familiarity with version control systems like Git. Experience with GraphDB, MongoDB, SQL/NoSQL, MS Access, and other databases. Ability to work in a collaborative, multi-functional environment, demonstrating a proactive approach and solid communication skills. More ❯

managing data pipelines for structured and unstructured data. Solid experience with database management systems (e.g., relational databases like PostgreSQL, NoSQL databases like Cassandra and MongoDB). Solid expertise in utilizing data storage technologies such as Data Lakes, NoSQL, and relational databases. Solid experience in building scalable and reliable data pipelines … Have Requirements: Familiarity with big data technologies such as Hadoop, Kafka, and similar tools. Familiarity with version control systems like Git. Experience with GraphDB, MongoDB, SQL/NoSQL, MS Access, and other databases. Ability to work in a collaborative, multi-functional environment, demonstrating a proactive approach and solid communication skills. More ❯

managing data pipelines for structured and unstructured data. Solid experience with database management systems (e.g., relational databases like PostgreSQL, NoSQL databases like Cassandra and MongoDB). Solid expertise in utilizing data storage technologies such as Data Lakes, NoSQL, and relational databases. Solid experience in building scalable and reliable data pipelines … Have Requirements Familiarity with big data technologies such as Hadoop, Kafka, and similar tools. Familiarity with version control systems like Git. Experience with GraphDB, MongoDB, SQL/NoSQL, MS Access, and other databases. Ability to work in a collaborative, multi-functional environment, demonstrating a proactive approach and solid communication skills. More ❯