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Data Streaming Jobs in Texas (NOW HIRING)

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 ...

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 ...

Design and lead real-time data streaming solutions leveraging. * Apache Flink on AWS Cloud, enabling scalable, low-latency, and fault-tolerant data processing platforms for business-critical use ...

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 ...

Data Streaming platforms (Azure/AWS/GCP services), MLflow, Real-time analytics systems * Experience deploying ML systems in operationally critical or high-availability environments. * Knowledge of ...

Sr/Staff Data Engineer (Remote - US)

TX · On-site

$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 ...

Data Architect | Onsite | Dallas/Charlotte

Dallas, TX · On-site

$63 - $81/hr

Enable real-time analytics through integration of data streaming and event-driven architectures. * Support AI/ML model development by providing high-quality, accessible datasets. Collaboration and ...

Data Architect | Onsite | Dallas/Charlotte

Dallas, TX · On-site

$63 - $81/hr

Enable real-time analytics through integration of data streaming and event-driven architectures. * Support AI/ML model development by providing high-quality, accessible datasets. Collaboration and ...

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

If working with GenAI, data infrastructure, streaming APIs, and shipping solutions fast excites you - this role is for you. Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a ...

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

If working with GenAI, data infrastructure, streaming APIs, and shipping solutions fast excites you - this role is for you. Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a ...

If working with GenAI, data infrastructure, streaming APIs, and shipping solutions fast excites you - this role is for you. Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a ...

Kafka Familiarity with real-time data streaming and asynchronous messaging. Version Control Proficiency with Git. Agile Familiarity with Agile/SDLC methodologies. Qualifications: Bachelor's degree in ...

Lead Data Engineer

Dallas, TX · On-site

$101K - $133K/yr

Knowledge of data streaming services like Apache Kafka. * Experience with Data Governance tools like Great Expectations and DataHub. * Experience implementing and scaling data governance frameworks ...

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Showing results 1-20

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 Lead- Dallas, TX

Data Lead- Dallas, TX

Photon

Dallas, TX • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Job description

We are seeking a Lead Data Engineer to build and scale the data infrastructure powering our Agentic AI products. You will be responsible for the "Ingestion-to-Insight" pipeline that allows autonomous agents to access, search, and reason over vast amounts of proprietary and public data.

Your role is critical: you will design the RAG (Retrieval-Augmented Generation) architectures and data pipelines that ensure our agents have the right context at the right time to make accurate decisions.

Key Responsibilities

  • AI-Ready Data Pipelines: Design and implement scalable ETL/ELT pipelines that process both structured (SQL, logs) and unstructured (PDFs, emails, docs) data specifically for LLM consumption.
  • Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval.
  • Chunking & Embedding Strategies: Collaborate with AI Engineers to optimize data chunking strategies and embedding models to improve the "recall" and "precision" of the agent's knowledge retrieval.
  • Data Quality for AI: Develop automated "Data Cleaning" workflows to remove noise, PII (Personally Identifiable Information), and toxicity from training/context datasets.
  • Metadata Engineering: Enrich raw data with advanced metadata tagging to help agents filter and prioritize information during multi-step reasoning tasks.
  • 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 Frameworks: Construct "Gold Datasets" and versioned data snapshots to help the team benchmark agent performance over time.

Required Skills & Qualifications

  • Experience: 10+ years in Data Engineering, with at least 2 years focusing on data for LLMs or AI/ML applications.
  • Python Mastery: Deep expertise in Python (Pandas, Pydantic, FastAPI) for data manipulation and API integration.
  • Data Tooling: Strong experience with modern data stack tools (e.g., dbt, Airflow, Dagster, Snowflake, or Databricks).
  • Vector Expertise: Hands-on experience with at least one major Vector Database and knowledge of similarity search algorithms (HNSW, Cosine Similarity).
  • Search Knowledge: Familiarity with hybrid search techniques (combining semantic search with traditional keyword search like Elasticsearch/BM25).
  • Cloud Infrastructure: Proficiency in managing data workloads on AWS, Azure, or GCP.

Preferred Qualifications

  • Experience with LlamaIndex or LangChain for data ingestion.
  • Knowledge of Graph Databases (e.g., Neo4j) to help agents understand complex relationships between data points.
  • Familiarity with "Data-Centric AI" principles-prioritizing data quality over model size.

Compensation, Benefits and Duration

Minimum Compensation: USD 46,000
Maximum Compensation: USD 162,000
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 not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post