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Contract Data Streaming Jobs in Texas (NOW HIRING)

Saransh Inc

AWS Data Architect - Full Time

Plano, TX · On-site

$61 - $78.50/hr

Define canonical data models and domain data contracts; lead conceptual/logical/physical data modeling and schema design for batch and streaming use cases. Establish reference architectures and ...

Genesis10

Principal Data Engineer - Hybrid

Plano, TX · On-site

$150K - $190K/yr

This role requires deep expertise in distributed data systems, streaming architectures, and ... For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement ...

Amazon

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

... streaming platforms, and enterprise services - Ensure data readiness for AI - designing schemas, data contracts, and pipeline patterns that make data consumable by agents and ML models at scale ...

Amazon

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

... streaming platforms, and enterprise services - Ensure data readiness for AI - designing schemas, data contracts, and pipeline patterns that make data consumable by agents and ML models at scale ...

Amazon

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

... streaming platforms, and enterprise services - Ensure data readiness for AI - designing schemas, data contracts, and pipeline patterns that make data consumable by agents and ML models at scale ...

Select Minds LLC

Data Quality Engineer

Dallas, TX · On-site

$120 - $150/hr

Dallas, TX (Hybrid - 3 days onsite) Job Type: Long-term Contract Work Authorization: Open - W2 opportunity We are looking for a Data Quality Engineer to own validation across batch and streaming data ...

1 point system

Telecom Data Engineer

Middleton, TX · On-site

$102K - $123K/yr

Streaming Patterns: Hands-on experience with Watermarking, Checkpoints, and handling late-arriving ... Proven experience moving data across Bronze, Silver, and Gold layers with clear "Data Contracts ...

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All JobsContract Data Streaming JobsContract Data Streaming Jobs in Texas

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 popular job titles related to Contract Data Streaming jobs in Texas?

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

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

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

What cities in Texas are hiring for Contract Data Streaming jobs?

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

Contract Data Streaming jobs near you

AWS Data Architect - Full Time

Saransh Inc

Plano, TX • On-site

$61 - $78.50/hr

Contractor

Re-posted 4 days ago

Job description

Role: Data Architect
Location: Plano, TX (Onsite from Day 1)
Job Type: Full Time
 
Role:
We are seeking a hands-on Data Architect to design and evolve an AWS based data platform spanning streaming ingestion (Kafka), API/enterprise integration (MuleSoft), containerized data services (EKS), data lake on S3, interactive query with Athena, and analytics/reporting on Snowflake and Tableau.
 
Skills:
Data Architecture, Kafka connect, Snowflake, Big Data
 
The opportunity:
Architecture & Design:
Own the end to end data architecture across ingestion, storage, processing, serving, and visualization layers.
Define canonical data models and domain data contracts; lead conceptual/logical/physical data modeling and schema design for batch and streaming use cases.
Establish reference architectures and patterns for event driven and API led data integration (Kafka, MuleSoft).
Design secure, multi account AWS topologies (VPC, IAM, KMS) for data workloads; enforce governance, lineage, and cataloging.
 
Platform Enablement (New Platform Build out):
Lead the blueprint and incremental rollout of a new AWS data platform, including landing raw curated zones on S3, Athena for ad hoc/interactive SQL, and Snowflake for governed analytics and reporting.
Define platform SLAs/SLOs, cost guardrails, and chargeback/showback models; optimize storage/compute footprints.
Partner with DevOps to run containerized data services on EKS (e.g., stream processors, microservices, connectors) and automate with CI/CD.
  
Required:
  • 8+ years in data architecture/engineering with 3+ years architecting on AWS.
  • Proven design of S3 based data lakes with robust partitioning, lifecycle policies, and metadata/catalog strategy.
  • Hands on experience with Kafka (topic design, schema evolution, consumer groups, throughput/latency tuning).
  • Practical MuleSoft integration design (API led connectivity, RAML/OAS, policies, governance).
  • Production experience with Amazon EKS for data/streaming microservices and connectors.
  • Strong SQL and performance tuning with Athena; expertise selecting file formats/partitioning for cost/perf.
  • Data warehousing on Snowflake (ELT, clustering, resource monitors, security) and delivering analytics via Tableau.
  • Mastery of data modeling (3NF, dimensional/star, data vault), data contracts, and event modeling.
  • Solid foundations in security, IAM/KMS, networking for data platforms, and cost management.