Fluent, LLC

Fluent, Inc (NASDAQ: FLNT) is a leader in customer acquisition, leveraging its direct response expertise to drive engagement and power discovery for leading brands. Backed by proprietary data science, Fluent connects data-rich consumers to targeted offers, allowing them to find new opportunities, content, and products that enhance their lives. Established in 2010, and headquartered in New York City, Fluent's team of experts have invested over $1B in media across its digital media portfolio to build a global audience available through 500+ DSPs, DMPs, online publishers, and programmatic platforms. For more information, visit www.fluentco.com .

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🔥 Data Engineer (Databricks)

Posted 2024-10-25

📍 Canada, United States

🧭 Full-Time

💸 130000 - 160000 CAD per year

🔍 Performance marketing

Bachelor's or Master's degree in computer science.
3+ years of industry experience in Data Engineering.
Expertise in Spark and SQL.
1+ years of experience with Databricks environment.
Familiarity with real-time ML systems within Databricks is beneficial.

Execute on building data products to power Fluent’s business lines.
Develop, deploy, and manage scalable pipelines on Databricks.
Ensure robust integration with a Feature Store leveraging online tables for ML models.
Investigate and leverage Databricks’ capabilities for real-time data processing.
Maintain high quality of code with comprehensive data observability.
Partner with data science, UI, and reporting teams to understand data requirements.
Share knowledge by giving tech talks and evangelizing best practices.

SQLData engineeringSparkCollaboration

Posted 2024-10-25

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🔥 Sr. Data Engineer (Databricks)

Posted 2024-10-25

📍 Canada, United States

🧭 Full-Time

💸 160000 - 180000 CAD per year

🔍 Performance marketing

Bachelor's or Master's degree in computer science.
5+ years of industry experience in Data Engineering.
Expertise in Spark and SQL.
2+ years of experience with the Databricks environment.
Familiarity with real-time ML systems within Databricks is beneficial.

Majority of the role will be software engineering – creating tables, views, Spark jobs, orchestrating within the Databricks environment.
Develop, deploy, and manage scalable data pipelines on Databricks with robust integration for machine learning models.
Implement real-time data processing and streaming using Databricks capabilities.
Maintain high code quality with observability, metadata standards, and best practices.
Work with data science, UI, and reporting teams to translate data requirements into models.
Stay updated on emerging tech trends within the Databricks ecosystem.
Share knowledge through events and empower internal teams with architectural insights.

SQLData engineeringSparkCollaboration

Posted 2024-10-25

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🔥 Sr. Data Architect (Databricks)

Posted 2024-10-24

📍 Canada, United States

🧭 Full-Time

💸 180000 - 215000 USD per year

🔍 Performance marketing

Bachelors or Masters degree in computer science.
8+ years of industry experience in Data Engineering.
2+ years of experience at the principal/data architect level leading data modeling.
5+ years of experience in SQL, Spark, and/or other programming languages.
2+ years of experience with the Databricks environment.
Familiarity with real-time ML systems within Databricks is a plus.

Collaborate closely with product managers and engineers to understand business needs and architect data solutions.
Model enterprise business lines with comprehensive documentation including gold tables and pipeline flow.
Evaluate and recommend appropriate tools and methodologies for data modeling.
Develop and manage scalable data pipelines on Databricks, ensuring integration with Databricks Feature Store.
Implement real-time data processing and streaming capabilities using Databricks.
Contribute to the maintenance of a high-quality code base and best practices.
Partner with data science teams to translate data requirements into models.
Mentor junior data engineers and share knowledge through presentations and discussions.

SQLMachine LearningData engineeringData scienceSparkCollaboration

Posted 2024-10-24

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🔥 Sr. Data Architect (Databricks)

Posted 2024-10-24

📍 United States, Canada

🧭 Full-Time

💸 180000 - 215000 USD per year

🔍 Performance marketing

Bachelor's or Master's degree in computer science.
8+ years of industry experience in Data Engineering.
2+ years of experience at principal/data architect level.
5+ years of experience in SQL, Spark, or other programming languages.
2+ years of experience with Databricks environment.
Familiarity with real-time ML systems within Databricks is beneficial.

Collaborate closely with product managers and engineers to understand business workflows and architect data solutions.
Model enterprise business lines with robust documentation.
Develop, deploy, and manage scalable data pipelines on Databricks.
Investigate Databricks capabilities for real-time processing and streaming.
Contribute to the quality of the code base with data observability and standards.
Mentor Junior Data Engineers and share knowledge through tech talks.

SQLMachine LearningData engineeringData scienceSparkCollaboration

Posted 2024-10-24

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🔥 Sr. Full Stack Engineer

Posted 2024-10-23

📍 United States

🧭 Full-Time

💸 140000 - 160000 USD per year

🔍 Performance marketing

Bachelor's degree in Computer Science, Software Engineering, or a related field.
4+ years of experience as a Full Stack Engineer, working with both frontend and backend technologies.
Strong proficiency in backend technologies like Node.js, ASP.NET, Kafka, gRPC, and Docker.
Experience with frontend frameworks and libraries, including React, Redux, Next.js, and JavaScript (TypeScript preferred).
Hands-on experience with CI/CD pipelines and tools such as GitHub, Docker, and AWS (EKS, ECR, S3).
Experience working with databases such as Elasticsearch, Redis, and EventStore.
Proficiency in programming languages like JavaScript, TypeScript, C#, and Java.
Familiarity with infrastructure as code and containerization using Kubernetes.
Solid understanding of API development, including REST and gRPC.
Excellent problem-solving skills, with the ability to troubleshoot complex systems.
Strong communication skills, with the ability to collaborate across teams.

Develop, maintain, and optimize full-stack applications using technologies like Node.js, Next.js, React Native, ASP.NET, and more.
Improve and manage CI/CD pipelines and standards, leveraging GitHub, Docker, Kubernetes (EKS), and AWS services (ECR, S3).
Implement backend solutions using gRPC, Kafka, Elasticsearch, Redis, and EventStore.
Collaborate with cross-functional teams to define architecture, improve performance, and scale applications.
Develop efficient, reusable, and reliable code across the stack, adhering to best practices for security and performance.
Ensure smooth integration of front-end components (React, Redux, RxJS, jQuery) with backend services.
Automate deployment processes and work with DevOps to continuously improve the infrastructure.
Troubleshoot and debug applications, identifying and resolving issues in both the frontend and backend.
Stay up-to-date with industry trends, bringing innovative solutions to the table.

AWSDockerNode.jsASP.NETElasticSearchJavaJavascriptjQueryKafkaKubernetesRxJSTypeScriptC#JavaScriptAsp.NETElasticsearchgRPCRedisReduxNext.jsReactCommunication SkillsCollaborationCI/CD

Posted 2024-10-23

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🔥 Sr. Backend Engineer (.NET/C#)

Posted 2024-10-23

📍 United States

🧭 Full-Time

💸 165000 - 190000 USD per year

🔍 Performance marketing

Bachelor’s degree in Computer Science, Software Engineering, or a related field.
5+ years of professional experience as a backend engineer focused on .NET and C#.
Proven experience with RESTful APIs and microservices architectures.
Strong understanding of database technologies like Elasticsearch, Redis, and EventStore.
Hands-on experience with CI/CD, Docker, Kubernetes, and cloud services (preferably AWS).
Understanding of OOP principles and software design patterns.
Familiarity with message queuing and streaming technologies (e.g., Kafka, gRPC).
Excellent problem-solving, debugging, and collaboration skills.
Experience with version control (Git) and Agile methodologies.

Design, develop, and maintain backend services and APIs using .NET and C#.
Architect and implement microservices, ensuring scalability and performance.
Collaborate with frontend and DevOps teams for deployment and integration.
Write clean, efficient, and testable code following best practices.
Optimize existing services for performance and reliability.
Build and manage database structures using Elasticsearch, Redis, and EventStore.
Implement monitoring, logging, and alerting solutions.
Streamline CI/CD pipelines for backend services with DevOps.
Troubleshoot complex issues in production.
Stay current on industry trends and technologies.

AWSBackend DevelopmentDockerNode.jsPythonAgileDesign PatternsElasticSearchGitKafkaKubernetesC#ElasticsearchgRPC.NETRedisCollaborationCI/CDRESTful APIsMicroservices

Posted 2024-10-23

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Fluent, LLC

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