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Contract Data Streaming Jobs in New Jersey (NOW HIRING)

MM International

Data Architect

Woodbridge, NJ · On-site

$64.25 - $82.75/hr

Woodbridge Township, NJ (Hybrid), (3 days onsite/2 wfh) Duration: 24+ Months Contract Local to NJ ... Streams * 4+ years of experience with data virtualization using tools like - Dremio, BigQuery Omni ...

Accord Technologies Inc.

Senior Data Engineer

Iselin, NJ · On-site

$107K - $146K/yr

W2 contract We are seeking a skilled Data Engineer with expertise in Databricks, Snowflake, Python ... Knowledge of Apache Kafka or other streaming technologies. * Familiarity with DevOps practices and ...

Xerox

Data Integrations Manager

Jersey City, NJ · On-site

Drive vendor management and contract negotiations for integration services * Ensure compliance with ... Message queues and event streaming (Kafka, RabbitMQ, Azure Service Bus) * Cloud integration ...

Peraton

Full-Stack Software Engineer

Red Bank, NJ · On-site

$104K - $166K/yr

CesiumJS) or real-time data streaming * Experience with C/C++ and embedded development * Experience ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

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Contract Data Streaming information

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 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 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 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 most commonly searched types of Data Streaming jobs in New Jersey?

The most popular types of Data Streaming jobs in New Jersey are:

What are popular job titles related to Contract Data Streaming jobs in New Jersey?

For Contract Data Streaming jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Contract Data Streaming jobs in New Jersey look for?

The top searched job categories for Contract Data Streaming jobs in New Jersey are:

What cities in New Jersey are hiring for Contract Data Streaming jobs?

Cities in New Jersey with the most Contract Data Streaming job openings:

Contract Data Streaming jobs near you
Infographic showing various Contract Data Streaming job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 63% Full Time, 20% Part Time, 1% Temporary, 14% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Senior AWS Data Engineer/Architect.

Accord Technologies Inc.

Piscataway, NJ • On-site

$68.50 - $91.75/hr

Contractor

Re-posted 22 days ago

Job description

Role: Senior AWS Data Engineer/Architect.
Location: Piscatway, NJ (Day 1 onsite Hybrid)
Position type: W2 contract

 About the Role

  You will design and build scalable data pipelines on AWS, integrating multiple data sources (telephony, CRM, LLM outputs) into a unified analytics platform serving business analysts and operational reporting teams.

 Job Description: 

   - Architect and implement cloud-native data pipelines on AWS

  - Build serverless compute layers using Lambda, Step Functions, and Airflow

  - Design data lake storage strategies using S3, Glue, Athena, and Redshift

  - Integrate real-time data streams via Kinesis and SQS

  - Collaborate with business analysts to translate reporting requirements into schema and pipeline design

  - Own data quality, pipeline monitoring, and alerting via CloudWatch

  - Lead schema design for Athena and Postgres tables — DDL, partitioning, indexing

  - Evaluate and integrate AI/ML services — Bedrock, Comprehend, Transcribe

  - Document architecture decisions and maintain runbooks

  Must Have

   - overall 10 to 15+ with 6+ years AWS data engineering experience

  - Expert Python — data transformation, boto3, async processing

  - Deep knowledge of: S3, Lambda, SQS, Kinesis, Step Functions, EventBridge, DynamoDB, Glue, Athena, Redshift, Airflow

  - Airflow — production DAG development and debugging

  - SQL — complex queries, window functions, partitioning, performance tuning

  - IAM — roles, policies, cross-account access, permissions boundaries

  - Experience designing event-driven, serverless architectures at scale

  - Strong understanding of data lake patterns — partitioning, file formats, crawlers

  Nice to Have

   - Amazon Connect / telephony platform experience

  - LLM integration — prompt engineering, Bedrock, API gateway patterns

  - Amazon Transcribe / Call Analytics

  - Terraform / CloudFormation

  - QuickSight dashboarding

  - Multi-account AWS organisation management