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Contract Data Streaming Jobs in New Rochelle, NY

Byteware Inc.

Healthcare Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

New York, NY (2-3 Days Onsite) Contract Experience: 14+ Years Job Summary Position Overview We are ... Streams and Tasks * Snowpark * Dynamic Tables * Data sharing * Snowflake Cortex AI Licenses ...

Ztek Consulting INC

Snowflake Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

Contract Duration: 6 / 12 Month Work Type: Onsite Rate: Pay range offered to a successful candidate ... data models ingestion patterns batch streaming Snowpipe storage layers raw curated ...

JP Morgan Chase

Java AWS Software Engineer III

Manhattan, NY

$57 - $78.25/hr

Define and enforce API contracts for all services being migrated or retired - ensuring consuming ... Hands-on experience with data streaming and messaging frameworks (Kafka or equivalent) * Experience ...

FanDuel

Staff Data Architect

New York, NY

$69.75 - $89.75/hr

Establish reference architectures, contracts, and standards that keep ML and AI data flows ... Experience leading large-scale data and AI/ML projects in batch and streaming environments.

New

Tror AI for everyone

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Contract Note: Interview mode: (Final round will be in person Interview at client location) Note ... Adept at setting up AWS Kinesis streams to process real-time data, enhancing system responsiveness ...

EROS Technologies, Inc.

Big Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

Based on the experience Contract Duration: 6 months - 1 Year (could be extended based on ... Stream processing with well known tools like storm, kafka Expertise on Java/ J2EE and should still ...

SolGenie

BUSINESS ANALYST (DATA)

New York, NY · On-site

We have got a contract opportunity for BUSINESS ANALYST (DATA) with one of our clients. Detailed is ... streams. RESPONSIBILITIES * Business and data analysis for strategic projects and enhancements ...

Velocity Search Group Inc.

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Experience with streaming data architecture using Kafka * Experience implementing data contracts and schema evolution strategies. * Experience with OpenShift platform * Experience normalizing data ...

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Showing results 21-40

All JobsContract Data Streaming JobsContract Data Streaming Jobs in New Rochelle, NY

Contract Data Streaming information

See New Rochelle, NY salary details

$47.3K

$169.8K

$250.6K

How much do contract data streaming jobs pay per year?

As of Aug 8, 2026, the average yearly pay for contract data streaming in New Rochelle, NY is $169,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,400.00 and $174,900.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a contract data streaming professional?

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.
What cities near New Rochelle, NY are hiring for Contract Data Streaming jobs? Cities near New Rochelle, NY with the most Contract Data Streaming job openings:
Contract Data Streaming jobs near you
Infographic showing various Contract Data Streaming job openings in New Rochelle, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $169,814 per year, or $81.6 per hour.

Staff Software Engineer, Data Infrastructure

Peregrine Technologies

New York, NY • On-site

$200K - $275K/yr

Full-time

Re-posted 27 days ago

Job description

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We value both ownership and collaboration-you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions-you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

We are looking for a Staff Data Infrastructure Engineer to join our growing team, where you will have deep ownership over the data layer that underpins everything Peregrine does. You will architect and build the systems that ingest, store, and serve massive volumes of real-time operational data - enabling our customers to make critical decisions with speed and confidence.

This is a senior individual contributor role for someone who thrives on hard technical problems and brings the experience and judgment to shape foundational infrastructure decisions. You will tackle a wide range of complex challenges, including:

  • Designing and operating a high-throughput, real-time data integration platform across diverse customer environments
  • Architecting a scalable open table format layer for reliable data storage at petabyte scale
  • Building and optimizing distributed data processing pipelines with Apache Spark and adjacent streaming technologies
  • Driving performance, reliability, and cost efficiency across the full data infrastructure stack
  • Collaborating with platform and product engineering teams to define data contracts, schemas, and integration patterns
  • Establishing best practices, tooling, and patterns that raise the quality bar for data infrastructure across the organization

Our stack is constantly evolving but is built on AWS GovCloud, Apache Iceberg, Apache Spark, Apache Kafka, Airflow, Kubernetes, and more.

About You
  • Deep passion for data infrastructure - you care about building systems that are correct, fast, and resilient at scale
  • Thrive on ambiguity and are energized by defining the right solution to hard, open-ended problems
  • Strong technical vision with the ability to translate complex data requirements into clean, durable infrastructure designs
  • Desire to own significant portions of the data stack end-to-end, from ingestion to serving
  • Committed to operational excellence - you build things you're proud to operate
What We Look For
  • 8+ years of experience architecting and operating large-scale data infrastructure systems in production environments
  • Deep expertise with open table formats, particularly Apache Iceberg - including schema evolution, partitioning strategies, compaction, and time travel
  • Extensive hands-on experience with Apache Spark for batch and streaming data processing at scale
  • Strong background in real-time data integration and stream processing, leveraging technologies such as Apache Kafka, Apache Flink, or equivalents
  • Solid experience with data pipeline orchestration using Airflow or similar tools
  • Strong software engineering fundamentals in Python and/or Scala, with a track record of writing production-quality code
  • Extensive experience with AWS or comparable cloud platforms, including S3-based data lake architectures
  • Experience with Kubernetes and containerized deployment of data workloads
  • Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • Located in San Francisco, New York, or Washington DC and open to working in office

Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

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