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Entry Level Streaming Data Engineer Jobs in Austin, TX

Other applications range from platforms that support concurrent streams of data from many always-on ... We work closely with engineers throughout the company to create and update our systems with respect ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

At an entry level, performs engineering support duties. This position develops competence by ... Performs data entry in the departmental engineering database. - Prepares basic reports related to ...

Other applications range from platforms that support concurrent streams of data from many always-on ... We work closely with engineers throughout the company to create and update our systems with respect ...

... Entry Level Software Developer Job Duties & Responsibilities Do you enjoy programming and ... Looking for an opportunity to help drive NSM business decisions through applications and data? We ...

Data Center Engineer

Round Rock, TX

$40 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI Data Center Functional Leaders, Technical Engineers, and the Field Service Manager (FSM) to ... Entry Level Job Type & Location This is a Contract position based out of Round Rock, TX. Pay and ...

Data Center Engineer

Round Rock, TX

$40 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI Data Center Functional Leaders, Technical Engineers, and the Field Service Manager (FSM) to ... Entry Level Job Type & Location This is a Contract position based out of Round Rock, TX. Pay and ...

Other applications range from platforms that support concurrent streams of data from many always-on ... We work closely with engineers throughout the company to create and update our systems with respect ...

Showing results 21-40

Entry Level Streaming Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do entry level streaming data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level streaming data engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Streaming Data Engineer vs Data Analyst?

AspectEntry Level Streaming Data EngineerData Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark), basic programming, data modelingData visualization, SQL, statistical analysis, Excel
CertificationsOptional certifications in data engineering or cloud platformsCertifications in data analysis or business intelligence tools
Work EnvironmentDeveloping real-time data pipelines, working with streaming data systemsInterpreting data, creating reports, supporting decision-making
Industry UsageTech, finance, e-commerce, where real-time data processing is criticalMarketing, finance, healthcare, focusing on data insights

In summary, Entry Level Streaming Data Engineers focus on building and maintaining real-time data pipelines using streaming technologies, while Data Analysts interpret and visualize data to support business decisions. Both roles require different skill sets but are essential in data-driven industries.

What are the most commonly searched types of Streaming Data Engineer jobs in Austin, TX?

The most popular types of Streaming Data Engineer jobs in Austin, TX are:

What are popular job titles related to Entry Level Streaming Data Engineer jobs in Austin, TX?

For Entry Level Streaming Data Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Streaming Data Engineer jobs in Austin, TX look for?

The top searched job categories for Entry Level Streaming Data Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Streaming Data Engineer jobs?

Cities near Austin, TX with the most Entry Level Streaming Data Engineer job openings:

Infographic showing various Entry Level Streaming Data Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Forward Deployed Engineer (Generative AI)

Tiger Analytics Inc.

Austin, TX • Remote

Full-time

Re-posted 2 days ago


Job description

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Agentic Design & Implementation
● Develop intelligent agents using Vertex AI Agent Builder to automate complex
business workflows.
● Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
that collaborate to solve end-to-end business challenges.
● Implement tools like MCP (Model Context Protocol) Toolbox to securely connect
agents to enterprise databases like BigQuery and Spanner.


AI on Data Strategy
● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless
integration with BigQuery for feature engineering.
● Build and optimize streaming data pipelines (e.g., via Dataflow) to execute
real-time inference using RunInference API or Vertex AI endpoints.
● Ground AI models in live business context using vector engines within BigQuery or
AlloyDB to eliminate "AI amnesia".


Operational Excellence (Soft Skills)
● Active Participation: Show up promptly for all internal and client-facing meetings.
● Transparent Communication: Provide regular, structured status updates to team
members and stakeholders regarding project milestones and technical blockers.
● Proactive Collaboration: Demonstrate the ability to ask for help when facing
technical hurdles and contribute to a collaborative troubleshooting environment.
● Consultative Approach: Navigate corporate environments to translate high-level
business goals into robust technical architectures.
Technical Qualifications
● Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and
model evaluation.
● Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
engineering, and data preprocessing techniques (scaling, encoding, imputation).
● Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex
AI endpoints.
● Emerging Tech: Familiarity with stateful real-time processing and the latest
innovations in agentic architectures.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.