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Contract Data Streaming Jobs in Springfield, VA (NOW HIRING)

OpenDataJobs

Data Engineer Role

Washington, DC · On-site

$129K - $155K/yr

Ingestion and transformation pipelines for batch, streaming, and event-driven data from APIs ... You make data contracts and tradeoffs clear, distinguish a data problem from a model or application ...

New

OpenDataJobs

Data Engineer Role

Washington, DC · On-site

$129K - $155K/yr

Ingestion and transformation pipelines for batch, streaming, and event-driven data from APIs ... You make data contracts and tradeoffs clear, distinguish a data problem from a model or application ...

New

BTree Solutions, Inc.

DATA ENGINEER

Mclean, VA · On-site

$116K - $139K/yr

USC, GC, H1B and EAD Contract Type: W2 Design, build, and operate large-scale batch and real-time ... workflow orchestration through event streaming and downstream data delivery. Required ...

System One Holdings, LLC

Data Architect

Greenbelt, MD · On-site

$68 - $95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... warehouse, data lake, streaming, Lambda/Kappa architecture) * Excellent oral and written ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... warehouse, data lake, streaming, Lambda/Kappa architecture) * Excellent oral and written ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... warehouse, data lake, streaming, Lambda/Kappa architecture) * Excellent oral and written ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... warehouse, data lake, streaming, Lambda/Kappa architecture) * Excellent oral and written ...

System One

Data Architect

Greenbelt, MD · Remote

$95/hr

Data Architect (2 openings) 6-month contract to hire Remote, Greenbelt, MD-based customer Bachelor ... warehouse, data lake, streaming, Lambda/Kappa architecture) * Excellent oral and written ...

Ariston Tek Inc

Hadoop Big Data Developer

Herndon, VA · On-site

Contract to Hire Required Skills: * Strong and deep knowledge of Java application development ... Streaming, HiveQL Qualifications Additional Information Thanks & Regards Vik Ariston Tek Inc ...

IT America Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One Employee / Contractor ... Exposure to real-time streaming technologies (Kafka, Kinesis). * Familiarity with machine learning ...

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Showing results 41-60

All JobsContract Data Streaming JobsContract Data Streaming Jobs in Springfield, VA

Contract Data Streaming information

See Springfield, VA salary details

$48K

$172.4K

$254.3K

How much do contract data streaming jobs pay per year?

As of Aug 10, 2026, the average yearly pay for contract data streaming in Springfield, VA is $172,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,400.00 and $177,600.00 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 Springfield, VA are hiring for Contract Data Streaming jobs? Cities near Springfield, VA with the most Contract Data Streaming job openings:
Contract Data Streaming jobs near you
Infographic showing various Contract Data Streaming job openings in Springfield, VA 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 $172,366 per year, or $82.9 per hour.

AI Integration Specialist

ASM Research

Washington, DC • On-site

Full-time

Re-posted 11 days ago

ASM Research rating

8.6

Company rating: 8.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

32nd of 223 rated it services

Job description

The AI Integration Specialist is a pivotal role bridging the gap between cutting-edge AI/ML research and robust, scalable production systems. This individual possesses a deep understanding of data science principles, machine learning model development, and the engineering expertise required to seamlessly integrate AI solutions into existing enterprise applications and workflows. They will be responsible for ensuring that AI initiatives not only deliver accurate and insightful models but are also designed for operational efficiency, maintainability, and measurable business impact, particularly within the Department of Energy's critical missions.
  • Design, develop, and implement strategies for integrating trained AI/ML models (e.g., predictive analytics, natural language processing, computer vision) into various existing IT systems, operational platforms, and software applications within the DOE.
  • Work closely with data scientists to understand model requirements, performance characteristics, and potential integration challenges.
  • Collaborate with software engineers and DevOps teams to establish robust CI/CD pipelines for AI/ML models, ensuring automated testing, deployment, and monitoring.
  • Develop APIs and microservices to expose AI model functionality for consumption by other applications and services.
  • Implement and manage MLOps (Machine Learning Operations) best practices, including model versioning, lineage tracking, performance monitoring, drift detection, and retraining strategies.
  • Establish monitoring dashboards and alerting systems to proactively identify and address issues related to model performance, data quality, and system health.
  • Act as a key liaison between data science teams and engineering/IT teams, translating complex data science concepts and model requirements into actionable engineering tasks.
  • Provide technical guidance to data scientists on model design for production readiness, including considerations for efficiency, latency, and resource utilization.
  • Participate in data exploration, feature engineering, and model experimentation processes to ensure data quality and model interpretability from an integration perspective.
  • Contribute to the architectural design of AI-enabled systems, advocating for scalable, secure, and resilient solutions.
  • Research and evaluate new technologies, frameworks, and tools for AI integration, deployment, and MLOps.
  • Develop and enforce coding standards, documentation practices, and best practices for AI/ML system development.
  • Communicate technical complexities and integration progress effectively to both technical and non-technical stakeholders, including senior leadership.
  • Develop training materials and conduct demos for internal teams on AI integration tools, processes, and best practices.

Minimum Qualifications
  • Bachelor's or Master's degree in computer science, Data Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field.
  • 12+ years of experience in a technical field with 5 years of experience in software engineering, data engineering, or MLOps, with a strong focus on deploying and integrating AI/ML models.
  • Experience working with large datasets, distributed computing, and cloud platforms (e.g., Azure, AWS, GCP).

Other Job Specific Skills
  • Strong proficiency in Python is essential; experience with Java, Scala, or Go is a plus.
  • Experience with MLOps platforms and tools.
  • Solid understanding of databases (SQL, NoSQL), data warehousing concepts, and data streaming technologies.
  • Experience with cloud-native services for compute, storage, and AI/ML (e.g., Azure Machine Learning, AWS SageMaker, Google Cloud AI Platform).
  • Experience designing and implementing RESTful APIs for AI services.
  • Strong understanding of software development best practices, including version control (Git), testing, and code review.
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills, with the ability to bridge technical and business gaps.

Preferred Skills
  • Experience working within a government agency or highly regulated industry.
  • Familiarity with specific DOE-relevant domains (e.g., energy systems, national security, scientific computing).
  • Experience with real-time AI inference and low-latency systems.
  • Certifications in cloud computing (e.g., Azure AI Engineer, AWS Machine Learning Specialty).

Compensation Ranges
Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.
EEO Requirements
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.
Physical Requirements
The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.
Disclaimer
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

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