Tech One IT
Lead Streaming Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Streaming Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include Apache Spark, AWS Flink, Kafka, and proficiency in Python or Java. Strong leadership and data engineering experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Tampa, FL
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🧠 - Skills detailed
#Spark (Apache Spark) #Compliance #Data Engineering #Data Processing #Java #Kafka (Apache Kafka) #AWS (Amazon Web Services) #Leadership #Scala #Apache Kafka #Python #Apache Spark #Security #Code Reviews
Role description
Mandatory
Build scalable and fault-tolerant streaming applications using Apache Spark Structured Streaming, AWS Flink, and Apache Kafka.
Role Summary
We are seeking an experienced Lead Streaming Data Engineer to design, develop, and lead the implementation of large-scale real-time data processing platforms. The ideal candidate should possess strong expertise in Apache Spark, AWS Flink, and Kafka Streaming, along with proficiency in Python or Java. The candidate will be responsible for technical leadership, architecture decisions, mentoring team members, and ensuring successful delivery of streaming data solutions.
Key Responsibilities
• Lead the architecture, design, and implementation of real-time data processing pipelines.
• Build scalable and fault-tolerant streaming applications using Apache Spark Structured Streaming, AWS Flink, and Apache Kafka.
• Define technical standards, best practices, and coding guidelines for the team.
• Collaborate with business stakeholders, architects, product owners, and engineering teams.
• Optimize streaming applications for performance, reliability, scalability, and cost efficiency.
• Drive solution design reviews, code reviews, and production readiness assessments.
• Mentor and guide development teams across onshore and offshore locations.
• Troubleshoot complex production issues and provide technical leadership during critical incidents.
• Ensure adherence to security, governance, and compliance requirements
Mandatory
Build scalable and fault-tolerant streaming applications using Apache Spark Structured Streaming, AWS Flink, and Apache Kafka.
Role Summary
We are seeking an experienced Lead Streaming Data Engineer to design, develop, and lead the implementation of large-scale real-time data processing platforms. The ideal candidate should possess strong expertise in Apache Spark, AWS Flink, and Kafka Streaming, along with proficiency in Python or Java. The candidate will be responsible for technical leadership, architecture decisions, mentoring team members, and ensuring successful delivery of streaming data solutions.
Key Responsibilities
• Lead the architecture, design, and implementation of real-time data processing pipelines.
• Build scalable and fault-tolerant streaming applications using Apache Spark Structured Streaming, AWS Flink, and Apache Kafka.
• Define technical standards, best practices, and coding guidelines for the team.
• Collaborate with business stakeholders, architects, product owners, and engineering teams.
• Optimize streaming applications for performance, reliability, scalability, and cost efficiency.
• Drive solution design reviews, code reviews, and production readiness assessments.
• Mentor and guide development teams across onshore and offshore locations.
• Troubleshoot complex production issues and provide technical leadership during critical incidents.
• Ensure adherence to security, governance, and compliance requirements
