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.