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Contract Data Streaming Jobs (NOW HIRING)

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Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note ... Knowledge of streaming frameworks (Spark Streaming, Kafka Streams). * Good to have - Aerospike ...

IT America Inc

Kafka Engineer

Dallas, TX · Remote

$57 - $75.50/hr

Remote Duration: Long term contract Type: Only W2 (No C2C/1099) Job Summary: We are looking for a ... The ideal candidate will be responsible for building and maintaining real-time data streaming ...

Syntricate Technologies

Sr Data Engineer

Overland Park, KS · On-site

$108K - $130K/yr

W2 Contract Experience: 7-10+ Years * Experience in data engineering. * Proficiency in Azure ... Experience with real-time data streaming using Kafka or other eventing solutions. * Familiarity ...

Saransh Inc

AWS Data Architect - Full Time

Plano, TX · On-site

$61 - $78.50/hr

Define canonical data models and domain data contracts; lead conceptual/logical/physical data modeling and schema design for batch and streaming use cases. Establish reference architectures and ...

Capstone IT

Principal Data Engineer

Springfield, MO

This opportunity is structured as a contract-to-hire engagement with the intent for the consultant ... streaming technologies. The ideal candidate combines strong technical expertise with business ...

Accord Technologies Inc.

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

W2 contract We are seeking Big Data Engineer to join our Enterprise Data & Analytics team. In this ... Develop real-time data streaming solutions using Kafka/Flume * Implement data governance and ...

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Contract Data Streaming information

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$46K

$165K

$243.5K

How much do contract data streaming jobs pay per year?

As of Jun 30, 2026, the average yearly pay for contract 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 the typical daily responsibilities of someone working in Contract Data Streaming?

Professionals in Contract Data Streaming typically manage and monitor data pipelines that deliver real-time contract information to clients or internal stakeholders. Their daily tasks often include troubleshooting data flow issues, optimizing streaming processes for efficiency, and ensuring data integrity and compliance with relevant standards. They collaborate closely with software engineers, data analysts, and legal teams to ensure that the contract data is accurate, up-to-date, and securely transmitted. Additionally, they may participate in meetings to discuss improvements to data infrastructure and address any technical challenges that arise.

What is a Contract Data Streaming professional?

A Contract Data Streaming professional is responsible for managing and facilitating the flow of real-time data between different systems or organizations, typically through contractual agreements. Their work involves ensuring that data streams are delivered efficiently, securely, and in compliance with agreed-upon terms. They often work with streaming technologies such as Kafka, Apache Flink, or AWS Kinesis, and may also handle monitoring, troubleshooting, and optimizing data pipelines. These professionals play a crucial role in industries where timely and accurate data delivery is essential, such as finance, media, or telecommunications.

What is the difference between Contract Data Streaming vs Data Engineer?

AspectContract Data StreamingData Engineer
CredentialsTypically requires data streaming certifications, SQL, and cloud platform knowledgeRequires degrees in computer science or related fields, plus data management certifications
Work EnvironmentProject-based, often freelance or temporary roles focused on streaming data pipelinesFull-time, in-house or consulting roles managing data infrastructure
Industry UsageCommon in finance, tech, and e-commerce sectors for real-time data processingUsed across various industries for building and maintaining data systems

Contract Data Streaming roles focus on implementing real-time data pipelines, often on a temporary basis, requiring specific streaming platform knowledge. Data Engineers build and maintain comprehensive data infrastructure, with broader responsibilities and credentials. Both roles are vital in data-driven industries but differ in scope and employment type.

What are the key skills and qualifications needed to thrive as a Contract Data Streaming Specialist, and why are they important?

To thrive as a Contract Data Streaming Specialist, you need expertise in real-time data processing, analytics, and a solid understanding of networking protocols and data management, typically supported by a degree in computer science or a related field. Familiarity with data streaming platforms like Apache Kafka, AWS Kinesis, or Azure Event Hubs, along with relevant certifications, is essential. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These competencies are crucial for ensuring reliable, secure, and efficient data delivery in dynamic business environments.
More about Contract Data Streaming jobs
What cities are hiring for Contract Data Streaming jobs? Cities with the most Contract 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 Contract Data Streaming jobs? States with the most job openings for Contract Data Streaming jobs include:
What job categories do people searching Contract Data Streaming jobs look for? The top searched job categories for Contract Data Streaming jobs are:
Contract Data Streaming jobs near you
Infographic showing various Contract Data Streaming job openings in the United States as of June 2026, with employment types broken down into 7% Full Time, 73% Part Time, 17% Contract, and 3% Nights. 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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