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Associate Engineering Jobs in Austin, TX (NOW HIRING)

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Associate Engineering information

See Austin, TX salary details

$41.1K

$81.9K

$130.8K

How much do associate engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for associate engineering in Austin, TX is $81,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $94,200.00 per year, depending on experience, location, and employer.

What does an associate engineer do?

An Associate Engineer is an entry-level professional who assists in designing, developing, and maintaining engineering projects. They work under the supervision of senior engineers, helping with technical tasks such as drafting plans, conducting tests, and collecting data. Their responsibilities may also include troubleshooting issues, preparing reports, and ensuring projects comply with industry standards. Associate Engineers typically work in fields like civil, mechanical, electrical, or software engineering.

What are the key skills and qualifications needed to thrive as an associate engineer?

To thrive as an Associate Engineer, you need a solid understanding of engineering principles, problem-solving skills, and typically a bachelor's degree in engineering or a related field. Familiarity with industry-standard software such as AutoCAD, SolidWorks, or MATLAB, and sometimes certifications like EIT (Engineer-in-Training), are commonly required. Strong teamwork, adaptability, and effective communication are soft skills that help you stand out in this role. These skills and qualities are vital for successfully executing technical tasks, collaborating on projects, and supporting senior engineers in achieving organizational goals.

What can I do with an associate engineering degree?

An associate engineering degree prepares individuals for technician, technologist, or support roles in fields such as civil, mechanical, electrical, or industrial engineering. Graduates can work as engineering technicians, CAD drafters, quality control inspectors, or in manufacturing and maintenance environments, often using tools like AutoCAD or MATLAB. Some positions may require additional certifications or on-the-job training.

What are some typical challenges associate engineers face when transitioning from academic projects to real-world engineering teams?

Associate Engineers often find that moving from academic projects to professional engineering teams involves adapting to faster-paced timelines, working within established processes, and collaborating with colleagues from various disciplines. Unlike academic work, where projects might be more theoretical or self-directed, real-world engineering requires balancing multiple tasks, following industry standards, and communicating effectively to ensure project success. Over time, most associate engineers develop strong problem-solving and teamwork skills, which are essential for advancement and continued success in the field.

What is the difference between Associate Engineering vs Mechanical Engineering?

AspectAssociate EngineeringMechanical Engineering
Required CredentialsAssociate degree or diploma, some certificationsBachelor's degree in Mechanical Engineering, licensure often not required initially
Work EnvironmentEntry-level, technical support, manufacturing, constructionDesign, analysis, research, manufacturing, often more autonomous
Employer & Industry UsageConstruction firms, manufacturing companies, government agenciesEngineering firms, manufacturing, aerospace, automotive industries

Associate Engineering roles typically require an associate degree and focus on technical support and implementation tasks. Mechanical Engineering positions usually demand a bachelor's degree and involve design, analysis, and problem-solving responsibilities. Both roles are essential in engineering projects but differ in education level, scope, and responsibilities.

What are the most commonly searched types of Engineering jobs in Austin, TX?

The most popular types of Engineering jobs in Austin, TX are:

What are popular job titles related to Associate Engineering jobs in Austin, TX?

For Associate Engineering jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Associate Engineering jobs in Austin, TX look for?

The top searched job categories for Associate Engineering jobs in Austin, TX are:

What cities near Austin, TX are hiring for Associate Engineering jobs?

Cities near Austin, TX with the most Associate Engineering job openings:

Infographic showing various Associate Engineering job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $81,910 per year, or $39.4 per hour.

Palantir Associate Forward Deployed Engineer - GPS

Deloitte

Austin, TX

Full-time

Posted 26 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Palantir Associate Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
  • 2+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Palantir including hands on experience with one of the following key platform technologies; Foundry, AIP, Maven
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a US government security clearance

Preferred:

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
  • Experience operating within hybrid onshore/offshore teams
  • Familiarity with security, privacy, and compliance considerations  

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $91,100 to $175,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Palantir Associate Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
  • 2+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Palantir including hands on experience with one of the following key platform technologies; Foundry, AIP, Maven
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a US government security clearance

Preferred:

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
  • Experience operating within hybrid onshore/offshore teams
  • Familiarity with security, privacy, and compliance considerations  

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $91,100 to $175,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

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