

Apache Flink Streaming Developer/ Lead - FTE and W2 Contract
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Apache Flink Streaming Developer/Lead" in Jersey City, NJ, on a long-term hybrid contract. Requires 7+ years in software development, 3+ years with Apache Flink, proficiency in Java/Scala, and experience with cloud platforms and message queues.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 26, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Jersey City, NJ
🧠 - Skills detailed
#Spark (Apache Spark) #Code Reviews #MS SQL (Microsoft SQL Server) #AWS (Amazon Web Services) #Docker #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Kafka (Apache Kafka) #SQL (Structured Query Language) #Agile #Data Science #Scala #Scrum #Data Ingestion #Apache Kafka #Kubernetes #Data Architecture #Apache Spark #Cloud #NoSQL #Data Pipeline #Database Systems #Azure #Computer Science #Data Engineering #Java #Leadership
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TecHobbit, is seeking the following. Apply via Dice today!
Role : Apache Flink Streaming Developer/ Lead
Location: Jersey City, NJ (1 Pershing Plaza, Jersey City, NJ) Hybrid Role
Duration : Long Term Project/ FTE
Job Summary:
We are seeking a highly skilled and motivated Lead Software Engineer with deep expertise in Apache Flink to lead the development and optimization of our real-time streaming applications. You will be responsible for designing, building, and maintaining scalable and robust data pipelines that process high-volume, high-velocity data. You will provide technical leadership, mentor junior engineers, and drive best practices in stream processing.
Responsibilities:
• Design and Development:
• Architect, design, and implement high-performance, fault-tolerant, and scalable real-time streaming applications using Apache Flink.
• Develop and optimize Flink pipelines for data ingestion, transformation, and analysis.
• Write clean, efficient, and well-documented code.
• Implement and maintain CI/CD pipelines for streaming applications.
• Technical Leadership:
• Lead technical design discussions and code reviews.
• Mentor and guide junior engineers, fostering a collaborative and learning environment.
• Define and enforce coding standards and best practices for stream processing.
• Evaluate and recommend new technologies and tools to improve streaming capabilities.
• Performance and Optimization:
• Monitor and optimize the performance of streaming applications.
• Troubleshoot and resolve complex performance and stability issues.
• Conduct performance testing and benchmarking.
• Tune Flink configurations for optimal resource utilization.
• Collaboration and Communication:
• Work closely with product managers, data scientists, and other stakeholders to understand requirements and deliver solutions.
• Communicate effectively with both technical and non-technical audiences.
• Participate in Agile/Scrum development processes.
• Data Architecture:
• Contribute to the overall data architecture, ensuring seamless integration of streaming data with other data systems.
• Design and implement data models for streaming data.
• Work with message queues like Kafka, RabbitMQ, etc.
Qualifications:
• Required:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in software development, with a focus on data engineering or stream processing.
• 3+ years of hands-on experience with Apache Flink.
• Strong understanding of stream processing concepts and techniques.
• Proficiency in Java or Scala (or other relevant languages).
• Experience with distributed systems and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
• Experience with message queues (Kafka, RabbitMQ, etc.).
• Experience with building and maintaining CI/CD pipelines.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Preferred: 1
• Experience with other stream processing frameworks (e.g., Apache Kafka Streams, Apache Spark Streaming).
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Experience with database systems (SQL and NoSQL).
• Experience with data warehousing solutions.
• Contributions to open-source projects, particularly Apache Flink.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TecHobbit, is seeking the following. Apply via Dice today!
Role : Apache Flink Streaming Developer/ Lead
Location: Jersey City, NJ (1 Pershing Plaza, Jersey City, NJ) Hybrid Role
Duration : Long Term Project/ FTE
Job Summary:
We are seeking a highly skilled and motivated Lead Software Engineer with deep expertise in Apache Flink to lead the development and optimization of our real-time streaming applications. You will be responsible for designing, building, and maintaining scalable and robust data pipelines that process high-volume, high-velocity data. You will provide technical leadership, mentor junior engineers, and drive best practices in stream processing.
Responsibilities:
• Design and Development:
• Architect, design, and implement high-performance, fault-tolerant, and scalable real-time streaming applications using Apache Flink.
• Develop and optimize Flink pipelines for data ingestion, transformation, and analysis.
• Write clean, efficient, and well-documented code.
• Implement and maintain CI/CD pipelines for streaming applications.
• Technical Leadership:
• Lead technical design discussions and code reviews.
• Mentor and guide junior engineers, fostering a collaborative and learning environment.
• Define and enforce coding standards and best practices for stream processing.
• Evaluate and recommend new technologies and tools to improve streaming capabilities.
• Performance and Optimization:
• Monitor and optimize the performance of streaming applications.
• Troubleshoot and resolve complex performance and stability issues.
• Conduct performance testing and benchmarking.
• Tune Flink configurations for optimal resource utilization.
• Collaboration and Communication:
• Work closely with product managers, data scientists, and other stakeholders to understand requirements and deliver solutions.
• Communicate effectively with both technical and non-technical audiences.
• Participate in Agile/Scrum development processes.
• Data Architecture:
• Contribute to the overall data architecture, ensuring seamless integration of streaming data with other data systems.
• Design and implement data models for streaming data.
• Work with message queues like Kafka, RabbitMQ, etc.
Qualifications:
• Required:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in software development, with a focus on data engineering or stream processing.
• 3+ years of hands-on experience with Apache Flink.
• Strong understanding of stream processing concepts and techniques.
• Proficiency in Java or Scala (or other relevant languages).
• Experience with distributed systems and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
• Experience with message queues (Kafka, RabbitMQ, etc.).
• Experience with building and maintaining CI/CD pipelines.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Preferred: 1
• Experience with other stream processing frameworks (e.g., Apache Kafka Streams, Apache Spark Streaming).
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Experience with database systems (SQL and NoSQL).
• Experience with data warehousing solutions.
• Contributions to open-source projects, particularly Apache Flink.