1

Contract Data Streaming Jobs (NOW HIRING)

AWS Streaming Data Engineer

Reston, VA · On-site

$77.60K - $176K/yr

AWS Streaming Data Engineer The Opportunity : As an AWS Streaming Data Engineer, you can resolve a ... as well as contract-specific affordability and organizational requirements. The projected ...

AWS Streaming Data Engineer

Mclean, VA · On-site

$77.60K - $176K/yr

AWS Streaming Data Engineer The Opportunity : As an AWS Streaming Data Engineer, you can resolve a ... as well as contract-specific affordability and organizational requirements. The projected ...

Senior Software Engineer II

Boston, MA · On-site +1

$176K - $230K/yr

... Data Contracts, and Policies. In this role, you will collaborate closely with the team and key stakeholders to design, architect, and develop cloud-native, multi-tenant services for Stream Governance.

Senior Software Engineer II

Raleigh, NC · On-site +1

$176K - $230K/yr

... Data Contracts, and Policies. In this role, you will collaborate closely with the team and key stakeholders to design, architect, and develop cloud-native, multi-tenant services for Stream Governance.

This is a 06+ month's contract opportunity with long-term potential located in Ashburn, VA. Please ... Connect the dots across through myriad data streams(Call Center, Network, Dispatch and Mobility) in ...

Confluent Kafka Solution Architect

San Antonio, FL · Hybrid

$56 - $73.75/hr

San Antonio, FL 33576 (Hybrid) Contract duration: 6+ Month Contract Job Details: Any certification ... resilient data streaming ecosystems. Mandatory skills: Strongly Preferred: • 8+ years of ...

Data Engineer

Smithfield, RI · Hybrid

$110K - $132.10K/yr

... Months Contract Video Interview MUST HAVE: PL/SQL, MF experience, COBOL, ETL. The Team We are ... streaming tools like Kafka and loading data to low latency caching data stores like Redis • ...

Principal Data Engineer (streaming)

$138.20K - $185.30K/yr

... grade streaming pipelines on a regular basis, while also encouraging and optimizing the daily ... schema contracts, implementing transformation tests and data assertions, enforcing backward ...

next page

Showing results 1-20

Contract Data Streaming information

See salary details

$46K

$165K

$243.5K

How much do contract data streaming jobs pay per year?

As of Jun 4, 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 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 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.

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:
Infographic showing various Contract Data Streaming job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer with Spark Streaming & GCP - Only W2

Saransh Inc

Bentonville, AR • On-site

$100.40K - $120.50K/yr

Contractor

Posted 20 days ago


Job description

Role: Data Engineer (Python, Scala, SQL)
Location: Bentonville, AR (Onsite from Day 1)
Job Type: W2 Contract
 
Note: Only W2 - No C2C (or) Third-party candidates

Mandatory Areas:
  • 8+ years of experience in Python, SQL, and potentially Scala/Java
  • Big Data: Expertise in Apache Spark (Spark SQL, DataFrames, Streaming).
  • 4+ Years in GCP
Description:
We are seeking a Data Engineer with Spark & Streaming skills that builds real-time, scalable data pipelines using tools like Spark, Kafka, and cloud services (GCP) to ingest, transform, and deliver data for analytics and ML.
 
Responsibilities:
  • Design, develop, and maintain ETL/ELT data pipelines for batch and real-time data ingestion, transformation, and loading using Spark (PySpark/Scala) and streaming technologies (Kafka, Flink).
  • Build and optimize scalable data architectures, including data lakes, data warehouses (BigQuery), and streaming platforms.
  • Performance Tuning: Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectiveness
  • Data Quality: Implement data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency.

Required Skills & Qualifications:
  • Programming: Strong proficiency in Python, SQL, and potentially Scala/Java.
  • Big Data: Expertise in Apache Spark (Spark SQL, DataFrames, Streaming).
  • Streaming: Experience with messaging queues like Apache Kafka, or Pub/Sub.
  • Cloud: Familiarity with GCP, Azure data services.
  • Databases: Knowledge of data warehousing (Snowflake, Redshift) and NoSQL databases.
  • Tools: Experience with Airflow, Databricks, Docker, Kubernetes is a plus.