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Part Time Streaming Data Engineer Jobs in Austin, TX

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

You will work closely with data scientists, engineers, enterprise architects, and business ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Experience in Science and Technology projects including data center, mission critical and ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

... and Maintain engineering lists, • Develop process data sheets • Write performance ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

... ensure enrichment programming is successful. Data enters member data and participation into ... HOURS: School time: Part time hours (approx 29 hours a week) during the school year: 1:00pm to 7 ...

Showing results 21-40

Part Time Streaming Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do part time streaming data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for part time 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 Part Time Streaming Data Engineer vs Part Time Data Analyst?

AspectPart Time Streaming Data EngineerPart Time Data Analyst
Required SkillsReal-time data processing, SQL, Python, Kafka, SparkData visualization, SQL, Excel, statistical analysis
Work EnvironmentTech teams, data engineering projects, cloud platformsBusiness units, reporting, data interpretation
Common CertificationsCloud certifications, Apache Kafka, Spark certificationsNone specific, often data analysis or business intelligence certifications

Part Time Streaming Data Engineers focus on building and maintaining real-time data pipelines using tools like Kafka and Spark, primarily working in technical environments. In contrast, Part Time Data Analysts interpret data, create reports, and support decision-making. Both roles require strong SQL skills but differ in technical complexity and daily tasks.

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 Part Time Streaming Data Engineer jobs in Austin, TX? For Part Time Streaming Data Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Part Time Streaming Data Engineer jobs in Austin, TX look for? The top searched job categories for Part Time Streaming Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Part Time Streaming Data Engineer jobs? Cities near Austin, TX with the most Part Time Streaming Data Engineer job openings:
Infographic showing various Part Time Streaming Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Generative AI Developer

Stantec

Austin, TX • On-site

$104K - $152K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Stantec rating

8.5

Company rating: 8.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

114th of 446 rated engineering


Job description

At Stantec, we have some of the world's leading professionals passionate about enabling our business to be its best. Our business teams include finance, procurement, human resources, information technology, marketing, corporate development, HSSE, real estate, legal, and practice services. We bring diverse backgrounds, skills, and expertise and create a caring culture where everyone can thrive. Through teamwork and collaboration, we're building a stronger, more resilient Stantec every day.
Your Opportunity
We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence (DCoE). This role will support a growing portfolio of AI initiatives across the organization, focusing on building scalable, secure, and well-governed solutions, including LLM-powered agents, multi-agent systems, retrieval-augmented generation (RAG), and intelligent automation platforms.
You will work closely with data scientists, engineers, enterprise architects, and business stakeholders to define architectural patterns, establish technical standards, and guide the implementation of advanced GenAI capabilities. This position plays a critical role in shaping enterprise AI architecture, ensuring solutions are reliable, compliant, and aligned with Stantec's governance, security, and responsible AI principles.
Your Key Responsibilities
  • Design, build, and deploy end-to-end GenAI solutions and agentic solutions, including model lifecycle management, evaluation, deployment, and monitoring.
  • Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines.
  • Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness.
  • Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost).
  • Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management.
  • Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability.
  • Document architectural patterns, methodologies, and lessons learned.
  • Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
  • Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.
  • Design, build, and deploy agentic solutions using Microsoft Copilot Studio, including configuration of topics, actions, integrations, and orchestration logic.

Qualifications
  • Strong background in designing and delivering modern cloud solutions, APIs, and data/AI platforms.
  • Demonstrated knowledge and hands-on experience in building custom AI agents, including development using platforms such as Azure AI Foundry and Microsoft Copilot Studio.
  • Familiarity with security, privacy, and governance practices for enterprise AI solutions.
  • Ability to communicate complex concepts clearly to technical and non-technical audiences, influencing stakeholders through architecture guidance.
  • Experience partnering across disciplines in agile delivery environments.
  • Understanding application deployment, hosting, and scaling within Azure.

Education and Experience
  • Master's degree or higher degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 5+ years of professional experience in AI/ML solution delivery, with recent hands-on GenAI solution experience.
  • Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI Foundry, would be highly valued.
  • Experience developing AI agents in Microsoft Copilot Studio is highly preferred.

Pay Range:
• Locations in CO, HI, IL, MD & Various CA, NJ Areas-$104,800.00 - $152,000.00 Annually
Pay Transparency: In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for part-time roles will be pro-rated based on the agreed number of working hours per week.
Benefits Summary: Regular full-time and part-time employees (working at least 20 hours per week) have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law).
Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law.
The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements
Primary Location: United States | TX | Austin
Other Locations: United States | CO | Denver
Organization: BC-2259 Innovation-US Digital COE
Employee Status: Regular
Business Justification: Replacement
Travel: No
Schedule: Full time
Job Posting: 15/04/2026 06:04:33
Req ID: 1004649
Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. At Stantec we are committed to ensuring our recruitment process is accessible to all. If you require reasonable adjustments to be made during the recruitment process then please inform a member of our Talent Acquisition team.

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