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Data Streaming Jobs in Texas (NOW HIRING)

Data Architect _US

Dallas, TX · On-site

$63 - $81/hr

The role involves database design, data modeling, schema evolution, data migrations, ETL pipelines, and data streaming across MySQL, PostgreSQL, and Google Cloud databases (Spanner, Cloud SQL ...

Data Architect _US

Dallas, TX

$63 - $81/hr

The role involves database design, data modeling, schema evolution, data migrations, ETL pipelines, and data streaming across MySQL, PostgreSQL, and Google Cloud databases (Spanner, Cloud SQL ...

AWS Data Architect - Full Time

Plano, TX · On-site

$61 - $78.50/hr

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 Engineer

Dallas, TX · On-site

$60 - $65/hr

Data Ingestion and Streaming (Kafka): * Architect and implement real-time and batch data ingestion pipelines using Apache Kafka for high-volume data streams. * Integrate Kafka with Databricks for ...

AWS Data Architect (Remote)

Irving, TX · Remote

$62.25 - $81.50/hr

Design, implement and evolve event driven and real time data streaming architectures. * Define and enforce best practices for data access, storage and processing across Analytical and operational use ...

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Real-time Data Streaming: Build low-latency data streams (using Kafka or Flink) to provide agents with "fresh" data, enabling them to act on real-time market or operational changes. * Evaluation ...

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Real-time Data Streaming: Build low-latency data streams (using Kafka or Flink) to provide agents with "fresh" data, enabling them to act on real-time market or operational changes. * Evaluation ...

This role requires deep expertise in distributed data systems, streaming architectures, and enterprise-scale engineering. You will set technical direction, mentor senior engineers, and ensure the ...

AWS Data Architect (Remote)

Irving, TX · On-site +1

$62.25 - $81.50/hr

Design, implement and evolve event driven and real time data streaming architectures. * Define and enforce best practices for data access, storage and processing across Analytical and operational use ...

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Data Streaming information

What are typical daily responsibilities for someone working in Data Streaming?

Professionals in Data Streaming typically design, develop, and maintain real-time data pipelines, ensuring continuous and reliable data flow across systems. They monitor the health of streaming platforms, troubleshoot latency or processing issues, and optimize performance for scalability. Collaboration with data engineering, analytics, and DevOps teams is common to ensure integration and alignment with business needs. Regular activities may also involve updating system configurations, deploying new features, and maintaining data security and compliance throughout the streaming infrastructure.

What are the key skills and qualifications needed to thrive in the Data Streaming position, and why are they important?

To excel in Data Streaming roles, candidates need a solid understanding of distributed computing, real-time data processing, and programming in languages such as Java, Scala, or Python. Experience with tools like Apache Kafka, Apache Flink, Spark Streaming, and relevant cloud platforms, along with certifications such as Confluent Certified Developer, are highly valuable. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are important soft skills. Mastery of these skills enables professionals to efficiently handle large-scale streaming data workloads and ensure reliable, low-latency data pipelines in dynamic business environments.

What is a Data Streaming job?

A Data Streaming job involves managing real-time data pipelines to process, analyze, and deliver continuous data flows. Professionals in this role work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to ensure seamless data movement and low-latency processing. They design scalable architectures that handle large volumes of events for use cases like real-time analytics, monitoring, and AI-driven decision-making.

What are the most commonly searched types of Data Streaming jobs in Texas? The most popular types of Data Streaming jobs in Texas are:
What cities in Texas are hiring for Data Streaming jobs? Cities in Texas with the most Data Streaming job openings:
Infographic showing various Data Streaming job openings in Texas as of July 2026, with employment types broken down into 80% Full Time, 11% Part Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution.
Data streaming with Apache Flink

Data streaming with Apache Flink

Ruri Software Technologies LLC

Irving, TX • On-site

Full-time

Posted 23 days ago


Job description

Job Title: Data streaming with Apache Flink
Duration: 8+ months
location: Irving, Texas
We are looking for Data Engineers with experience of developing large scale stream processing jobs at scale.
Technologies and Tools used:
- Java/Python
- Flink
- Cassandra/MemSql/others
- Openshift / K8s
- Kafka
Responsibilities:
Create new, and maintain existing, Flink jobs written in Java/Python, deploy on OpenShift. Produce unit and system tests for all code • Participate in design discussions to improve our existing frameworks • Define scalable calculation logic for interactive and batch use cases • Interact with infrastructure and data teams to produce complex analysis across data Required Qualifications: A minimum of 3 years of experience developing stream processing systems. A minimum of 5 years of programming experience
Required experience with Flink real-time data streaming: • Knowledge and experience with cloud-based technologies, preferably OpenShift • Experience in batch
• Experience in Flink Kubernetes Operator • Familiarity with open source configuration management and development tools
• Ability to dynamically adapt to conventional big-data frameworks and open source tools if project demands
• Deep knowledge of troubleshooting and tuning Streaming applications to achieve optimal performance
• Knowledge of design strategies for developing scalable, resilient, always-on data lake
• Strong development/automation skills • Must be very comfortable with reading and writing Java/Python code • An aptitude for analytical problem solving