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Data Streaming Jobs in Texas (NOW HIRING)

Photon

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 ...

Photon

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 ...

Redolent, Inc

Data Engineer

Dallas, TX

$113K - $136K/yr

Create real time data streaming and processing using Kafka and/or Spark streaming. Work on creating data ingestion processes to maintain Global Data lake on Google cloud or Azure Engage with ...

Saransh Inc

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 ...

Artius Solutions

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 ...

BNSF

Sr/Staff Data Engineer (Remote - US)

TX

$165K - $300K/yr

Design and implement data streaming solutions to process real-time data efficiently. Develop and maintain robust data pipelines for both real time and batch processing including data extraction ...

BNSF Railway

Sr/Staff Data Engineer (Remote - US)

TX · On-site +1

$165K - $300K/yr

Design and implement data streaming solutions to process real-time data efficiently. Develop and maintain robust data pipelines for both real time and batch processing including data extraction ...

Signet Jewelers Ltd.

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 ...

Photon

Data Engineer - Dallas, TX

Dallas, TX

$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 ...

Photon

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 ...

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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 are popular job titles related to Data Streaming jobs in Texas? For Data Streaming jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Streaming jobs in Texas look for? The top searched job categories for 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:
Data Streaming jobs near you
Infographic showing various Data Streaming job openings in Texas as of June 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 75% In-person, and 25% Remote job distribution.
Data Architect _US

Data Architect _US

Photon

Dallas, TX • On-site

$63 - $81/hr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

Job Description
Position
Data Architect
Experience
10+ years
Location
Offshore (working closely with onshore architects)
Role Overview
We are looking for a Database Lead with strong GCP, database, and ETL experience to support a cloud-native data platform. 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, AlloyDB).
Snowflake, DOMO - Analytics and Reporting is a must
The candidate will act as a technical lead, collaborating with onshore architects and leading offshore DB/ETL resources as additional team members are onboarded.
Key Responsibilities
  • Lead data modeling, schema design, and database architecture across MySQL, PostgreSQL, Spanner, Cloud SQL, and AlloyDB.
  • Own data migrations (one-time migrations, incremental/delta loads, and ongoing data synchronization).
  • Design and manage config-driven ETL / ELT pipelines, with table-level configuration files and minimal transformations.
  • Support on-demand onboarding of new tables and manage schema changes / evolution.
  • Design and support data streams for batch and near-real-time ingestion.
  • Work across teams on event-driven architectures, ensuring reliable data publishing and downstream consumption.
  • Enable CI/CD deployments for database changes, ETL jobs, dataflows, and configurations.
  • Monitor and troubleshoot ETL pipelines, data syncs, and streaming jobs; support reprocessing and recovery.
  • Prepare and maintain playbooks, runbooks, and operational documentation.
  • Lead and mentor offshore DB/ETL engineers, review designs, guide implementation, and ensure delivery quality.

Mandatory Skills & Experience
  • 5-8 years of experience in database and data engineering roles.
  • Proven expertise in data modeling, schema design, and data migrations.
  • Strong hands-on experience with MySQL and PostgreSQL.
  • Experience with Google Cloud databases: Spanner, Cloud SQL, AlloyDB.
  • Experience with ETL / ELT pipelines, data integration, and data streaming.
  • Strong understanding of schema evolution, delta processing, and data synchronization.
  • Advanced SQL skills.
  • Experience working on GCP, including services like Pub/Sub, Dataflow, BigQuery, and Cloud Storage.
  • Experience with CI/CD pipelines for data and database deployments.
  • Ability to technically lead offshore teams and work with onshore stakeholders.

Nice to Have
  • Exposure to other databases / technologies such as AS/400, MongoDB, Cassandra, and GraphQL.
  • Experience in enterprise data modernization or legacy-to-cloud programs.
  • Professional Cloud Certifications (Google / Microsoft / AWS), including:
    • Google Professional Data Engineer
    • Google Cloud Architect
    • Google Cloud Engineer

Compensation, Benefits and Duration
Minimum Compensation: USD 52,000
Maximum Compensation: USD 182,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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