651 to 675 of 1,653 Kafka Jobs

Style Sheets (CSS, Sass), TypeScript Microsoft Visual Studio Code Additional Desired Skills MS preferred, 6-10 years' experience. Experience with GIS, ArcGIS Server & ArcGIS Pro Experience with NGINX, Istio, Kafka, Keycloak, Splunk, PostgreSQL/PostGIS, Data Modeling Original Posting: June 23, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job More ❯

days/week. Flexibility is key to accommodate any schedules changes per the customer. Preferred Requirements Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers, EKS, Diode, CI/CD, and Terraform are a plus. Work could possibly require some on-call work. Compensation At More ❯

other Market Data vendors. Data analytics experience. Agile development practices (e.g. continuous delivery, source control). Technologies Cloud (AWS). Rapid Development (RAD). Messaging/Data Streaming solution (Kafka, RabbitMQ, etc.). Database Admin. Linux exposure. REST API. Good To Have Languages Python: Pandas, Numpy, FastAPI, data manipulation. Web: JS, HTML, CSS, FE framework (React, angular or similar More ❯

Development, Integration Testing, Load Testing, Test Automation. Experienced in utilizing Grafana, Jaeger, Splunk to monitor and troubleshooting application systems Experience in using NOSQL databases and distributed messaging systems like Kafka etc Experience supporting and working with cross-functional teams in a dynamic environment Demonstrated willingness to learn new technologies More ❯

junior developers and analysts. Key Skills and Experience Required Extensive Core Java experience with strong knowledge of data structures, design patterns, and SOLID principles. Experience with messaging systems like Kafka and Solace. Proficiency in Spring framework and cloud technologies (Docker/Kubernetes/OpenShift). Familiarity with Jira, Bitbucket, and Gradle. Experience with document databases (MongoDB). Experience developing More ❯

junior developers and analysts. Key Skills and Experience Required Extensive Core Java experience with strong knowledge of data structures, design patterns, and SOLID principles. Experience with messaging systems like Kafka and Solace. Proficiency in Spring framework and cloud technologies (Docker/Kubernetes/OpenShift). Familiarity with Jira, Bitbucket, and Gradle. Experience with document databases (MongoDB). Experience developing More ❯

Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and scripting skills in Python. Knowledge of Event-Driven Architectures (Kafka). Collaborate with DevOps teams to implement CI/CD pipelines and infrastructure as code using tools like Terraform, CloudFormation, and Ansible. Implement and manage monitoring and observability tools More ❯

with the Linux CLI and Linux scripting Experience with Elastic Cloud or other cloud-based Elasticsearch deployments. Experience with Elasticsearch security features. Experience with other data processing technologies (e.g., Kafka, Spark). Experience with containerization technologies (e.g., Docker, Kubernetes). Elastic certifications. Benefits Medical, Dental, Vision, Unlimited Vacation, Sick Leave, Paid Federal Holidays, Education and Certification Reimbursement Program More ❯

and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization More ❯

data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on More ❯

tools (Terraform, Docker, Kubernetes or similar) Significant experience with CI/CD tools (Jenkins, GitHub Actions, CircleCI or similar) Preferred Experience: Experience with real time data pipelines (AWS Kinesis, Kafka, Spark) Experience with observability tools (Metaplane, MonteCarlo, Datadog or similar) Experience within FinTech/Finance/FX preferred More ❯

tools (Terraform, Docker, Kubernetes or similar) Significant experience with CI/CD tools (Jenkins, GitHub Actions, CircleCI or similar) Preferred Experience: Experience with real time data pipelines (AWS Kinesis, Kafka, Spark) Experience with observability tools (Metaplane, MonteCarlo, Datadog or similar) Experience within FinTech/Finance/FX preferred More ❯

days per week in Columbia, MD. Flexibility is essential to adapt to schedule changes if needed. Preferred Requirements Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers, EKS, Diode, CI/CD, and Terraform are a plus. Work could possibly require some on-call work. More ❯

with Poly clearance. Security+ 8570 certification. Certified Kubernetes Administrator (CKA). Certified Kubernetes Application Developer (CKAD). AWS or similar cloud provider experience. Solid understanding of Message Service NATS, Kafka, Redis. Strong Linux and Networking background. Software development experience with C Java. Full-Time Employee Compensation M9 Solutions' pay range for this position is a general guideline only and More ❯

environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding of file formats and their behaviour such as parquet, delta and iceberg. What we offer We want to give you a great work environment; contribute More ❯

Maven Frameworks: Spring Boot, Flask Familiarity with multiple of the following: Analytical development: Machine Learning, Stream, Batch Virtualization Environments: Kubernetes, Containers (Docker, Containerd), Cloud (AWS/HCI) Streaming Frameworks: Kafka, Flink MongoDB, ArangoDB, Redis, PostgreSQL Desired skills: ElasticSearch Additional information: Work performed in contractor facility in Annapolis Junction Both low and high side access Potential telework Individual Capabilities Required More ❯

willing/able to help open/close the workspace during regular business hours as needed. Preferred Requirements Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers, EKS, Diode, CI/CD, and Terraform are a plus. We have many more additional great benefits/ More ❯

gements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Knowledge of Databricks, LangChain, or Kubernetes Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills More ❯

demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes) Proven success in enhancing developer experience that reduces friction in coding, building and deploying APIs and client libraries. Real-world More ❯

GitOps principles to automate the deployment of applications on Kubernetes clusters Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems Ability to work with continuous integration and delivery best practices Knowledge of operating resilient, highly available More ❯

GitOps principles to automate the deployment of applications on Kubernetes clusters Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems Ability to work with continuous integration and delivery best practices Knowledge of operating resilient, highly available More ❯

GitOps principles to automate the deployment of applications on Kubernetes clusters Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems Ability to work with continuous integration and delivery best practices Knowledge of operating resilient, highly available More ❯

GitOps principles to automate the deployment of applications on Kubernetes clusters Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems Ability to work with continuous integration and delivery best practices Knowledge of operating resilient, highly available More ❯

GitOps principles to automate the deployment of applications on Kubernetes clusters Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems Ability to work with continuous integration and delivery best practices Knowledge of operating resilient, highly available More ❯

deliver on time Collaborative mindset with experience working in cross-functional teams Bonus Points Experience with machine learning workflows and MLOps practices Knowledge of real-time streaming data processing (Kafka, Kinesis) Background in consulting or client-facing technical roles Contributions to open-source analytics or data engineering projects What Success Looks Like in Your First Year Technical Impact: Successfully More ❯