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Data Streaming Jobs (NOW HIRING)

Braze

Engineering Manager, Data Streaming

New York, NY · Hybrid

$160K - $282K/yr

Powered by Kafka, Kafka Streams, and Apache Flink, the platform aims to make data streaming a solved problem, allowing internal product teams to ship streaming features without managing the ...

Braze

Engineering Manager, Data Streaming

New York, NY · On-site

$160K - $282K/yr

Powered by Kafka, Kafka Streams, and Apache Flink, the platform aims to make data streaming a solved problem, allowing internal product teams to ship streaming features without managing the ...

Artech

Senior Telecom Data Streaming Architect

Irving, TX · On-site

$44 - $46/hr

Senior Telecom Data Streaming Architect Location: Irving, TX (100% ONSITE) Duration: 6 months (extendable) Pay Range: $44-46/Hour on W2 only Note: Applicant must be willing to work on W2. Request-ID ...

Yusen Logistics

Sr. Data Engineer

Cordova, TN · On-site

$99K - $118K/yr

Develop data streaming pipelines using technologies such as Apache Kafka, Apache NiFi, and Apache Spark. * Monitor and maintain data streaming pipelines, ensuring high availability and timely ...

Yusen Logistics

Sr. Data Engineer

Cordova, TN

$99K - $118K/yr

Develop data streaming pipelines using technologies such as Apache Kafka, Apache NiFi, and Apache Spark. * Monitor and maintain data streaming pipelines, ensuring high availability and timely ...

Yusen Logistics

Sr. Data Engineer

Cordova, TN

$99K - $118K/yr

Develop data streaming pipelines using technologies such as Apache Kafka, Apache NiFi, and Apache Spark. * Monitor and maintain data streaming pipelines, ensuring high availability and timely ...

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Data Streaming information

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$46K

$165K

$243.5K

How much do data streaming jobs pay per year?

As of Jun 30, 2026, the average yearly pay for data streaming in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are typical daily responsibilities for someone working in Data Streaming?

Professionals in Data Streaming typically design, develop, and maintain real-time data pipelines, ensuring continuous and reliable data flow across systems. They monitor the health of streaming platforms, troubleshoot latency or processing issues, and optimize performance for scalability. Collaboration with data engineering, analytics, and DevOps teams is common to ensure integration and alignment with business needs. Regular activities may also involve updating system configurations, deploying new features, and maintaining data security and compliance throughout the streaming infrastructure.

What are the key skills and qualifications needed to thrive in the Data Streaming position, and why are they important?

To excel in Data Streaming roles, candidates need a solid understanding of distributed computing, real-time data processing, and programming in languages such as Java, Scala, or Python. Experience with tools like Apache Kafka, Apache Flink, Spark Streaming, and relevant cloud platforms, along with certifications such as Confluent Certified Developer, are highly valuable. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are important soft skills. Mastery of these skills enables professionals to efficiently handle large-scale streaming data workloads and ensure reliable, low-latency data pipelines in dynamic business environments.

What is a Data Streaming job?

A Data Streaming job involves managing real-time data pipelines to process, analyze, and deliver continuous data flows. Professionals in this role work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to ensure seamless data movement and low-latency processing. They design scalable architectures that handle large volumes of events for use cases like real-time analytics, monitoring, and AI-driven decision-making.

More about Data Streaming jobs
What cities are hiring for Data Streaming jobs? Cities with the most Data Streaming job openings:
What are the most commonly searched types of Data Streaming jobs? The most popular types of Data Streaming jobs are:
What states have the most Data Streaming jobs? States with the most job openings for Data Streaming jobs include:
What job categories do people searching Data Streaming jobs look for? The top searched job categories for Data Streaming jobs are:
Data Streaming jobs near you
Infographic showing various Data Streaming job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Application Data Architect - Data Streaming

Application Data Architect - Data Streaming

Techstra Solutions

Pittsburgh, PA • On-site

$62 - $79.50/hr

Full-time

Posted 8 days ago

Key responsibilities

  • Own the architectural strategy for high-volume data streaming using Kafka, defining patterns for real-time ingestion, event processing, and complex data pipeline orchestration.

  • Architect comprehensive API-led integration solutions that enable secure and efficient data exchange between modern cloud services and on-premise core banking platforms.

  • Establish canonical data models and integration contracts that enforce data consistency across the enterprise.

Job description

Job Summary:
Techstra Solutions is a certified woman-owned management consulting firm specializing in strategy, technology, and implementation services. They are seeking a senior Application Data Architect to lead the design and implementation of complex, event-driven data ecosystems within a retail banking environment, ensuring scalable and compliant data architecture.
Responsibilities:
• Streaming & Event Architecture: Own the architectural strategy for high-volume data streaming using Kafka, defining patterns for real-time ingestion, event processing, and complex data pipeline orchestration.
• Integration Strategy: Architect comprehensive API-led integration solutions (REST/SOAP/gRPC) that enable secure and efficient data exchange between modern cloud services and on-premise core banking platforms.
• Data Design & Modeling: Establish canonical data models and integration contracts that enforce data consistency across the enterprise.
• Governance & Lineage: Partner with data governance teams to enforce strict data quality, lineage, and PII handling standards, ensuring all streaming and integration patterns remain audit-ready.
• Technical Oversight: Provide architecture guidance and oversight throughout the development lifecycle, focusing on system performance, scalability, and the reduction of technical debt.
• Banking Domain Alignment: Design solutions that align with financial services architectural frameworks—specifically leveraging the BIAN (Banking Industry Architecture Network) reference model where applicable—to standardize service definitions and business capabilities.
• Stakeholder Engagement: Translate complex data architecture requirements into executive-level blueprints, acting as the subject matter expert for data streaming and API strategy.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Technology, or related field
• 10+ years of progressive experience in enterprise data architecture or senior engineering.
• Deep Expertise in Kafka: Proven experience architecting complex, large-scale data streaming environments in high-concurrency settings.
• API Architecture: Extensive background in designing and managing API-first architectures within hybrid (cloud/on-premise) environments.
• Data Integration: Proficiency in designing data flows across disparate systems, including mainframes, legacy databases, and modern data platforms.
• Banking Domain Expertise: Solid understanding of retail banking workflows, transaction processing, and data sensitivity requirements.
• Architectural Communication: Ability to define and document 'big picture' data strategies and mentor engineering teams on best practices.
Preferred:
• BIAN Framework: Prior experience applying the BIAN architectural reference model to banking technology design is heavily preferred.
• Regulatory Compliance: Experience working in highly regulated environments with stringent disaster recovery and data security mandates.
• Cloud/Hybrid Modernization: Experience migrating legacy batch-processing systems to real-time event-driven architectures.
• Industry Certifications: Relevant architecture certifications (e.g., TOGAF, Confluent Certified Architect for Apache Kafka, or equivalent).
Company:
Techstra Solutions is a consulting firm for digital and talent transformation. Founded in 2012, the company is headquartered in Pittsburgh, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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