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Contract Data Streaming Jobs in Texas (NOW HIRING)

Lead Data Product Manager

Plano, TX · On-site

$103.32 - $110.21/hr

Contract**Contract Duration:** 12 MonthsRole OverviewThe Data Product Manager (Strategy Lead) role ... Modern data practices: data mesh/product-based operating models, event streaming (e.g., Kafka), and ...

Data Engineer - CTH

Fort Worth, TX · On-site

$38 - $45/hr

DFW, TX Duration: Contract to hire Rate: $38.00 - $45.00/HR Work Requirements: , Holders or ... Build and maintain batch and real-time/streaming data pipelines. * Develop data ingestion ...

Manager, Data Management Contract Position: 12 months + potential extension Location: Dallas, TX ... Knowledge of ETL/ELT processes, data ingestion, streaming technologies (Kafka, Spark Streaming ...

Staff Data Engineer

Austin, TX · On-site

$180 - $240/hr

You will own the data model and the pipeline contracts other teams build against, move pipelines ... Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache ...

Sr Data Engineer - W2 only

Plano, TX · On-site

$110K - $132K/yr

Plano, TX (Onsite - Hybrid, 3 days Onsite/Week) Duration : 24+ Months Contract with possible ... Candidate will be working on publishing data to streams using an SDK, defining and creating schema ...

Dallas, TX Duration: 6+ Month Contract About the Role We are seeking an experienced Data Management ... Experience with streaming and real-time data technologies such as Kafka or Spark Streaming.

... processes, data, systems, and people * Communication - ability to effectively communicate to ... or work streams * Judgment - exercises prudence and insight in decision-making process while ...

Data Engineer - MarTech

Dallas, TX

$113K - $136K/yr

Engineer event-driven streaming (e.g., Kafka) for loyalty, pump, and transaction events to enable ... contracts and identity resolution. * Support privacy and compliance requirements across all data ...

Showing results 41-60

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 cities in Texas are hiring for Contract Data Streaming jobs?

Cities in Texas with the most Contract Data Streaming job openings:

Software Architect, Lead

Booz Allen Hamilton, Inc.

San Antonio, TX • On-site, Remote

$112K - $257K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 26 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants


Job description


Remote Work:
Yes
Job Number:
R0245343
Location:
San Antonio,TX,US
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Software Architect, Lead
The Opportunity:
Are you looking for an opportunity not just to develop software, but to architect event-driven platforms and low-latency streaming systems that have an immense impact in the defense industry? As a Solution Architect, you'll lead end-to-end product design-from vision to production-for real-time data ingestion, processing, and delivery. Using agile lifecycle development and Git-based workflows, you'll partner with full-stack engineers and data scientists to operationalize data-intensive capabilities across mission systems.
What You'll Do
  • Define and own streaming architecture, such as pub/sub, fanout, or backpressure, and event-driven microservices for high-availability and fault tolerance.
  • Select, configure, and scale distributed messaging, such as Kafka, RabbitMQ, or AWS SNS/SQS, WebSockets/gRPC, and API gateways.
  • Establish data contracts and schema evolution, such as Avro, Protobuf, or JSON Schema, with registry, serialization, and compatibility policies.
  • Design for observability, such as OpenTelemetry, distributed tracing, and SLOs, and drive resiliency patterns, such as idempotency, retries, or circuit breakers.
  • Lead cloud-native deployments on Docker and Kubernetes; guide infrastructure choices across AWS or Azure.
  • Set security-by-design standards, such as encryption in transit/at rest, authN/authZ, or secrets management in partnership with DevSecOps.
  • Mentor engineers, review designs and code, and champion SDLC best practices, automated testing, and documentation.

Join us. The world can't wait.
You Have:
  • 8+ years of experience in software architecture, design, and code review in production systems
  • 2+ years of experience building real-time services, defined as WebSockets-driven data pipelines that transmit and process raw data with no observable delay to human users, with Node.js, TypeScript and React for console and Operations UIs
  • Experience with REST APIs, WebSockets, and C#
  • Experience Agile Methodology, Git, JavaScript, CSS, Swagger, OpenAPI, Client and Server Side Development, RESTful APIs, AWS, and Azure
  • Experience with relational, such as PostgreSQL or SQL Server, and NoSQL, such as MongoDB or DynamoDB, data architectures at scale
  • Experience with delivery with data streaming technologies and distributed message queues, including strong unit and integration test frameworks
  • Experience with production with Docker and Kubernetes for scalability
  • Ability to travel up to 25% of the time
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with Big Data technologies, such as Python, Kafka, Spark/Flink, or ksqlDB
  • Experience performance engineering for low-latency pipelines
  • Experience with game engines, such as Unity, Unreal, or Prepar3D a plus
  • Experience with C++
  • Possession of excellent critical thinking, decision making, and detail oriented skills

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,900.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914